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<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Safety and effectiveness of mass drug administration to accelerate elimination of artemisinin-resistant falciparum malaria: A pilot trial in four villages of Eastern Myanmar</title><author><name sortKey="Landier, Jordi" sort="Landier, Jordi" uniqKey="Landier J" first="Jordi" last="Landier">Jordi Landier</name><affiliation><nlm:aff id="a1">Shoklo Malaria Research Unit, Mahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Mae Sot, Thailand</nlm:aff></affiliation></author><author><name sortKey="Kajeechiwa, Ladda" sort="Kajeechiwa, Ladda" uniqKey="Kajeechiwa L" first="Ladda" last="Kajeechiwa">Ladda Kajeechiwa</name><affiliation><nlm:aff id="a1">Shoklo Malaria Research Unit, Mahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Mae Sot, Thailand</nlm:aff></affiliation></author><author><name sortKey="Thwin, May Myo" sort="Thwin, May Myo" uniqKey="Thwin M" first="May Myo" last="Thwin">May Myo Thwin</name><affiliation><nlm:aff id="a1">Shoklo Malaria Research Unit, Mahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Mae Sot, Thailand</nlm:aff></affiliation></author><author><name sortKey="Parker, Daniel M" sort="Parker, Daniel M" uniqKey="Parker D" first="Daniel M." last="Parker">Daniel M. Parker</name><affiliation><nlm:aff id="a1">Shoklo Malaria Research Unit, Mahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Mae Sot, Thailand</nlm:aff></affiliation></author><author><name sortKey="Chaumeau, Victor" sort="Chaumeau, Victor" uniqKey="Chaumeau V" first="Victor" last="Chaumeau">Victor Chaumeau</name><affiliation><nlm:aff id="a1">Shoklo Malaria Research Unit, Mahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Mae Sot, Thailand</nlm:aff></affiliation><affiliation><nlm:aff id="a2">Maladies Infectieuses et Vecteurs Ecologie, Génétique, Evolution et Contrôle (IRD 224-CNRS 4280 UM1-UM2), Institut de Recherche pour le Développement, Montpellier, France</nlm:aff></affiliation><affiliation><nlm:aff id="a3">Centre Hospitalier Régional Universitaire de Montpellier, Montpellier, France</nlm:aff></affiliation></author><author><name sortKey="Wiladphaingern, Jacher" sort="Wiladphaingern, Jacher" uniqKey="Wiladphaingern J" first="Jacher" last="Wiladphaingern">Jacher Wiladphaingern</name><affiliation><nlm:aff id="a1">Shoklo Malaria Research Unit, Mahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Mae Sot, Thailand</nlm:aff></affiliation></author><author><name sortKey="Imwong, Mallika" sort="Imwong, Mallika" uniqKey="Imwong M" first="Mallika" last="Imwong">Mallika Imwong</name><affiliation><nlm:aff id="a4">Mahidol Oxford Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand</nlm:aff></affiliation><affiliation><nlm:aff id="a5">Department of Molecular Tropical Medicine and Genetics, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand</nlm:aff></affiliation></author><author><name sortKey="Miotto, Olivo" sort="Miotto, Olivo" uniqKey="Miotto O" first="Olivo" last="Miotto">Olivo Miotto</name><affiliation><nlm:aff id="a4">Mahidol Oxford Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand</nlm:aff></affiliation><affiliation><nlm:aff id="a6">Centre for Genomics and Global Health, Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, OX3 7BN, UK</nlm:aff></affiliation><affiliation><nlm:aff id="a7">Wellcome Trust Sanger Institute, Cambridge, CB10 1SA, UK</nlm:aff></affiliation></author><author><name sortKey="Patumrat, Krittaya" sort="Patumrat, Krittaya" uniqKey="Patumrat K" first="Krittaya" last="Patumrat">Krittaya Patumrat</name><affiliation><nlm:aff id="a5">Department of Molecular Tropical Medicine and Genetics, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand</nlm:aff></affiliation></author><author><name sortKey="Duanguppama, Jureeporn" sort="Duanguppama, Jureeporn" uniqKey="Duanguppama J" first="Jureeporn" last="Duanguppama">Jureeporn Duanguppama</name><affiliation><nlm:aff id="a5">Department of Molecular Tropical Medicine and Genetics, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand</nlm:aff></affiliation></author><author><name sortKey="Cerqueira, Dominique" sort="Cerqueira, Dominique" uniqKey="Cerqueira D" first="Dominique" last="Cerqueira">Dominique Cerqueira</name><affiliation><nlm:aff id="a4">Mahidol Oxford Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand</nlm:aff></affiliation></author><author><name sortKey="Malleret, Benoit" sort="Malleret, Benoit" uniqKey="Malleret B" first="Benoit" last="Malleret">Benoit Malleret</name><affiliation><nlm:aff id="a8">Department of Microbiology & Immunology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 119077, Singapore</nlm:aff></affiliation><affiliation><nlm:aff id="a9">Singapore Immunology Network (SIgN), Agency for Science & Technology, Singapore, 138632, Singapore</nlm:aff></affiliation></author><author><name sortKey="Renia, Laurent" sort="Renia, Laurent" uniqKey="Renia L" first="Laurent" last="Rénia">Laurent Rénia</name><affiliation><nlm:aff id="a9">Singapore Immunology Network (SIgN), Agency for Science & Technology, Singapore, 138632, Singapore</nlm:aff></affiliation></author><author><name sortKey="Nosten, Suphak" sort="Nosten, Suphak" uniqKey="Nosten S" first="Suphak" last="Nosten">Suphak Nosten</name><affiliation><nlm:aff id="a1">Shoklo Malaria Research Unit, Mahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Mae Sot, Thailand</nlm:aff></affiliation></author><author><name sortKey="Von Seidlein, Lorenz" sort="Von Seidlein, Lorenz" uniqKey="Von Seidlein L" first="Lorenz" last="Von Seidlein">Lorenz Von Seidlein</name><affiliation><nlm:aff id="a4">Mahidol Oxford Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand</nlm:aff></affiliation></author><author><name sortKey="Ling, Clare" sort="Ling, Clare" uniqKey="Ling C" first="Clare" last="Ling">Clare Ling</name><affiliation><nlm:aff id="a1">Shoklo Malaria Research Unit, Mahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Mae Sot, Thailand</nlm:aff></affiliation></author><author><name sortKey="Proux, Stephane" sort="Proux, Stephane" uniqKey="Proux S" first="Stéphane" last="Proux">Stéphane Proux</name><affiliation><nlm:aff id="a1">Shoklo Malaria Research Unit, Mahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Mae Sot, Thailand</nlm:aff></affiliation></author><author><name sortKey="Corbel, Vincent" sort="Corbel, Vincent" uniqKey="Corbel V" first="Vincent" last="Corbel">Vincent Corbel</name><affiliation><nlm:aff id="a2">Maladies Infectieuses et Vecteurs Ecologie, Génétique, Evolution et Contrôle (IRD 224-CNRS 4280 UM1-UM2), Institut de Recherche pour le Développement, Montpellier, France</nlm:aff></affiliation></author><author><name sortKey="Simpson, Julie A" sort="Simpson, Julie A" uniqKey="Simpson J" first="Julie A." last="Simpson">Julie A. Simpson</name><affiliation><nlm:aff id="a10">Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, 3053, Australia</nlm:aff></affiliation></author><author><name sortKey="Dondorp, Arjen M" sort="Dondorp, Arjen M" uniqKey="Dondorp A" first="Arjen M." last="Dondorp">Arjen M. Dondorp</name><affiliation><nlm:aff id="a4">Mahidol Oxford Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand</nlm:aff></affiliation><affiliation><nlm:aff id="a11">Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, OX3 7BN, UK</nlm:aff></affiliation></author><author><name sortKey="White, Nicholas J" sort="White, Nicholas J" uniqKey="White N" first="Nicholas J." last="White">Nicholas J. White</name><affiliation><nlm:aff id="a4">Mahidol Oxford Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand</nlm:aff></affiliation><affiliation><nlm:aff id="a11">Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, OX3 7BN, UK</nlm:aff></affiliation></author><author><name sortKey="Nosten, Francois H" sort="Nosten, Francois H" uniqKey="Nosten F" first="François H." last="Nosten">François H. Nosten</name><affiliation><nlm:aff id="a1">Shoklo Malaria Research Unit, Mahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Mae Sot, Thailand</nlm:aff></affiliation><affiliation><nlm:aff id="a11">Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, OX3 7BN, UK</nlm:aff></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PMC</idno><idno type="pmid">29062913</idno><idno type="pmc">5635445</idno><idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5635445</idno><idno type="RBID">PMC:5635445</idno><idno type="doi">10.12688/wellcomeopenres.12240.1</idno><date when="2017">2017</date><idno type="wicri:Area/Pmc/Corpus">002D43</idno><idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Corpus" wicri:corpus="PMC">002D43</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">Safety and effectiveness of mass drug administration to accelerate elimination of artemisinin-resistant falciparum malaria: A pilot trial in four villages of Eastern Myanmar</title><author><name sortKey="Landier, Jordi" sort="Landier, Jordi" uniqKey="Landier J" first="Jordi" last="Landier">Jordi Landier</name><affiliation><nlm:aff id="a1">Shoklo Malaria Research Unit, Mahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Mae Sot, Thailand</nlm:aff></affiliation></author><author><name sortKey="Kajeechiwa, Ladda" sort="Kajeechiwa, Ladda" uniqKey="Kajeechiwa L" first="Ladda" last="Kajeechiwa">Ladda Kajeechiwa</name><affiliation><nlm:aff id="a1">Shoklo Malaria Research Unit, Mahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Mae Sot, Thailand</nlm:aff></affiliation></author><author><name sortKey="Thwin, May Myo" sort="Thwin, May Myo" uniqKey="Thwin M" first="May Myo" last="Thwin">May Myo Thwin</name><affiliation><nlm:aff id="a1">Shoklo Malaria Research Unit, Mahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Mae Sot, Thailand</nlm:aff></affiliation></author><author><name sortKey="Parker, Daniel M" sort="Parker, Daniel M" uniqKey="Parker D" first="Daniel M." last="Parker">Daniel M. Parker</name><affiliation><nlm:aff id="a1">Shoklo Malaria Research Unit, Mahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Mae Sot, Thailand</nlm:aff></affiliation></author><author><name sortKey="Chaumeau, Victor" sort="Chaumeau, Victor" uniqKey="Chaumeau V" first="Victor" last="Chaumeau">Victor Chaumeau</name><affiliation><nlm:aff id="a1">Shoklo Malaria Research Unit, Mahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Mae Sot, Thailand</nlm:aff></affiliation><affiliation><nlm:aff id="a2">Maladies Infectieuses et Vecteurs Ecologie, Génétique, Evolution et Contrôle (IRD 224-CNRS 4280 UM1-UM2), Institut de Recherche pour le Développement, Montpellier, France</nlm:aff></affiliation><affiliation><nlm:aff id="a3">Centre Hospitalier Régional Universitaire de Montpellier, Montpellier, France</nlm:aff></affiliation></author><author><name sortKey="Wiladphaingern, Jacher" sort="Wiladphaingern, Jacher" uniqKey="Wiladphaingern J" first="Jacher" last="Wiladphaingern">Jacher Wiladphaingern</name><affiliation><nlm:aff id="a1">Shoklo Malaria Research Unit, Mahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Mae Sot, Thailand</nlm:aff></affiliation></author><author><name sortKey="Imwong, Mallika" sort="Imwong, Mallika" uniqKey="Imwong M" first="Mallika" last="Imwong">Mallika Imwong</name><affiliation><nlm:aff id="a4">Mahidol Oxford Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand</nlm:aff></affiliation><affiliation><nlm:aff id="a5">Department of Molecular Tropical Medicine and Genetics, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand</nlm:aff></affiliation></author><author><name sortKey="Miotto, Olivo" sort="Miotto, Olivo" uniqKey="Miotto O" first="Olivo" last="Miotto">Olivo Miotto</name><affiliation><nlm:aff id="a4">Mahidol Oxford Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand</nlm:aff></affiliation><affiliation><nlm:aff id="a6">Centre for Genomics and Global Health, Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, OX3 7BN, UK</nlm:aff></affiliation><affiliation><nlm:aff id="a7">Wellcome Trust Sanger Institute, Cambridge, CB10 1SA, UK</nlm:aff></affiliation></author><author><name sortKey="Patumrat, Krittaya" sort="Patumrat, Krittaya" uniqKey="Patumrat K" first="Krittaya" last="Patumrat">Krittaya Patumrat</name><affiliation><nlm:aff id="a5">Department of Molecular Tropical Medicine and Genetics, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand</nlm:aff></affiliation></author><author><name sortKey="Duanguppama, Jureeporn" sort="Duanguppama, Jureeporn" uniqKey="Duanguppama J" first="Jureeporn" last="Duanguppama">Jureeporn Duanguppama</name><affiliation><nlm:aff id="a5">Department of Molecular Tropical Medicine and Genetics, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand</nlm:aff></affiliation></author><author><name sortKey="Cerqueira, Dominique" sort="Cerqueira, Dominique" uniqKey="Cerqueira D" first="Dominique" last="Cerqueira">Dominique Cerqueira</name><affiliation><nlm:aff id="a4">Mahidol Oxford Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand</nlm:aff></affiliation></author><author><name sortKey="Malleret, Benoit" sort="Malleret, Benoit" uniqKey="Malleret B" first="Benoit" last="Malleret">Benoit Malleret</name><affiliation><nlm:aff id="a8">Department of Microbiology & Immunology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 119077, Singapore</nlm:aff></affiliation><affiliation><nlm:aff id="a9">Singapore Immunology Network (SIgN), Agency for Science & Technology, Singapore, 138632, Singapore</nlm:aff></affiliation></author><author><name sortKey="Renia, Laurent" sort="Renia, Laurent" uniqKey="Renia L" first="Laurent" last="Rénia">Laurent Rénia</name><affiliation><nlm:aff id="a9">Singapore Immunology Network (SIgN), Agency for Science & Technology, Singapore, 138632, Singapore</nlm:aff></affiliation></author><author><name sortKey="Nosten, Suphak" sort="Nosten, Suphak" uniqKey="Nosten S" first="Suphak" last="Nosten">Suphak Nosten</name><affiliation><nlm:aff id="a1">Shoklo Malaria Research Unit, Mahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Mae Sot, Thailand</nlm:aff></affiliation></author><author><name sortKey="Von Seidlein, Lorenz" sort="Von Seidlein, Lorenz" uniqKey="Von Seidlein L" first="Lorenz" last="Von Seidlein">Lorenz Von Seidlein</name><affiliation><nlm:aff id="a4">Mahidol Oxford Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand</nlm:aff></affiliation></author><author><name sortKey="Ling, Clare" sort="Ling, Clare" uniqKey="Ling C" first="Clare" last="Ling">Clare Ling</name><affiliation><nlm:aff id="a1">Shoklo Malaria Research Unit, Mahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Mae Sot, Thailand</nlm:aff></affiliation></author><author><name sortKey="Proux, Stephane" sort="Proux, Stephane" uniqKey="Proux S" first="Stéphane" last="Proux">Stéphane Proux</name><affiliation><nlm:aff id="a1">Shoklo Malaria Research Unit, Mahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Mae Sot, Thailand</nlm:aff></affiliation></author><author><name sortKey="Corbel, Vincent" sort="Corbel, Vincent" uniqKey="Corbel V" first="Vincent" last="Corbel">Vincent Corbel</name><affiliation><nlm:aff id="a2">Maladies Infectieuses et Vecteurs Ecologie, Génétique, Evolution et Contrôle (IRD 224-CNRS 4280 UM1-UM2), Institut de Recherche pour le Développement, Montpellier, France</nlm:aff></affiliation></author><author><name sortKey="Simpson, Julie A" sort="Simpson, Julie A" uniqKey="Simpson J" first="Julie A." last="Simpson">Julie A. Simpson</name><affiliation><nlm:aff id="a10">Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, 3053, Australia</nlm:aff></affiliation></author><author><name sortKey="Dondorp, Arjen M" sort="Dondorp, Arjen M" uniqKey="Dondorp A" first="Arjen M." last="Dondorp">Arjen M. Dondorp</name><affiliation><nlm:aff id="a4">Mahidol Oxford Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand</nlm:aff></affiliation><affiliation><nlm:aff id="a11">Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, OX3 7BN, UK</nlm:aff></affiliation></author><author><name sortKey="White, Nicholas J" sort="White, Nicholas J" uniqKey="White N" first="Nicholas J." last="White">Nicholas J. White</name><affiliation><nlm:aff id="a4">Mahidol Oxford Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand</nlm:aff></affiliation><affiliation><nlm:aff id="a11">Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, OX3 7BN, UK</nlm:aff></affiliation></author><author><name sortKey="Nosten, Francois H" sort="Nosten, Francois H" uniqKey="Nosten F" first="François H." last="Nosten">François H. Nosten</name><affiliation><nlm:aff id="a1">Shoklo Malaria Research Unit, Mahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Mae Sot, Thailand</nlm:aff></affiliation><affiliation><nlm:aff id="a11">Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, OX3 7BN, UK</nlm:aff></affiliation></author></analytic><series><title level="j">Wellcome Open Research</title><idno type="eISSN">2398-502X</idno><imprint><date when="2017">2017</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p><bold>Background: </bold>Artemisinin and partner drug-resistant falciparum malaria is expanding over the Greater Mekong Sub-region (GMS). Eliminating falciparum malaria in the GMS while drugs still retain enough efficacy could prevent global spread of antimalarial resistance. Eliminating malaria rapidly requires targeting the reservoir of asymptomatic parasite carriers.</p><p> This pilot trial aimed to evaluate the acceptability, safety, feasibility and effectiveness of mass-drug administration (MDA) in reducing malaria in four villages in Eastern Myanmar.</p><p><bold>Methods: </bold>Villages with ≥30% malaria prevalence were selected. Long-lasting insecticidal bednets (LLINs) and access to malaria early diagnosis and treatment (EDT) were provided. Two villages received MDA immediately and two were followed for nine months pre-MDA. MDA consisted of a 3-day supervised course of dihydroartemisinin-piperaquine and single low-dose primaquine administered monthly for three months. Adverse events (AE) were monitored by interviews and consultations. Malaria prevalence was assessed by ultrasensitive PCR quarterly for 24 months. Symptomatic malaria incidence,entomological indices, and antimalarial resistance markers were monitored.</p><p><bold>Results: </bold>MDA was well tolerated. There were no serious AE and mild to moderate AE were reported in 5.6%(212/3931) interviews. In the smaller villages, participation to three MDA courses was 61% and 57%, compared to 28% and 29% in the larger villages. Baseline prevalence was higher in intervention than in control villages (18.7% (95%CI=16.1-21.6) versus 6.8%(5.2-8.7), p<0.0001) whereas three months after starting MDA, prevalence was lower in intervention villages (0.4%(0.04-1.3) versus 2.7%(1.7-4.1), p=0.0014). After nine months the difference was no longer significant (2.0%(1.0-3.5) versus 0.9%(0.04-1.8), p=0.10). M0-M9 symptomatic falciparum incidence was similar between intervention and control. Before/after MDA comparisons showed that asymptomatic
<italic>P. falciparum </italic>carriage and anopheline vector positivity decreased significantly whereas prevalence of the artemisinin-resistance molecular marker remained stable.</p><p><bold>Conclusions: </bold>This MDA was safe and feasible, and, could accelerate elimination of
<italic>P. falciparum </italic>in addition to EDT and LLINs
<italic></italic>when community participation was sufficient.</p></div></front><back><div1 type="bibliography"><listBibl><biblStruct><analytic><author><name sortKey="White, Nj" uniqKey="White N">NJ White</name></author><author><name sortKey="Pukrittayakamee, S" uniqKey="Pukrittayakamee S">S Pukrittayakamee</name></author><author><name sortKey="Hien, Tt" uniqKey="Hien T">TT Hien</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Ashley, Ea" uniqKey="Ashley E">EA Ashley</name></author><author><name sortKey="Dhorda, M" uniqKey="Dhorda M">M Dhorda</name></author><author><name sortKey="Fairhurst, Rm" uniqKey="Fairhurst R">RM Fairhurst</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Phyo, Ap" uniqKey="Phyo A">AP Phyo</name></author><author><name sortKey="Ashley, Ea" uniqKey="Ashley E">EA Ashley</name></author><author><name sortKey="Anderson, Tjc" uniqKey="Anderson T">TJC 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<front><journal-meta><journal-id journal-id-type="nlm-ta">Wellcome Open Res</journal-id><journal-id journal-id-type="iso-abbrev">Wellcome Open Res</journal-id><journal-id journal-id-type="pmc">Wellcome Open Res</journal-id><journal-title-group><journal-title>Wellcome Open Research</journal-title></journal-title-group><issn pub-type="epub">2398-502X</issn><publisher><publisher-name>F1000Research</publisher-name><publisher-loc>London, UK</publisher-loc></publisher></journal-meta><article-meta><article-id pub-id-type="pmid">29062913</article-id><article-id pub-id-type="pmc">5635445</article-id><article-id pub-id-type="doi">10.12688/wellcomeopenres.12240.1</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group><subject>Articles</subject><subj-group><subject>Epidemiology</subject></subj-group><subj-group><subject>Health Systems & Services Research</subject></subj-group><subj-group><subject>Parasitology</subject></subj-group><subj-group><subject>Preventive Medicine</subject></subj-group></subj-group></article-categories><title-group><article-title>Safety and effectiveness of mass drug administration to accelerate elimination of artemisinin-resistant falciparum malaria: A pilot trial in four villages of Eastern Myanmar</article-title><fn-group content-type="pub-status"><fn><p>[version 1; referees: 2 approved]</p></fn></fn-group></title-group><contrib-group><contrib contrib-type="author"><name><surname>Landier</surname><given-names>Jordi</given-names></name><role content-type="http://credit.casrai.org/">Data Curation</role><role content-type="http://credit.casrai.org/">Formal Analysis</role><role content-type="http://credit.casrai.org/">Investigation</role><role content-type="http://credit.casrai.org/">Methodology</role><role content-type="http://credit.casrai.org/">Visualization</role><role content-type="http://credit.casrai.org/">Writing – Original Draft Preparation</role><role content-type="http://credit.casrai.org/">Writing – Review & Editing</role><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0001-8619-9775</contrib-id><xref ref-type="corresp" rid="c1">a</xref><xref ref-type="aff" rid="a1">1</xref></contrib><contrib contrib-type="author"><name><surname>Kajeechiwa</surname><given-names>Ladda</given-names></name><role content-type="http://credit.casrai.org/">Investigation</role><role content-type="http://credit.casrai.org/">Project Administration</role><role content-type="http://credit.casrai.org/">Writing – Review & Editing</role><xref ref-type="aff" rid="a1">1</xref></contrib><contrib contrib-type="author"><name><surname>Thwin</surname><given-names>May Myo</given-names></name><role content-type="http://credit.casrai.org/">Investigation</role><role content-type="http://credit.casrai.org/">Project Administration</role><role content-type="http://credit.casrai.org/">Writing – Review & Editing</role><xref ref-type="aff" rid="a1">1</xref></contrib><contrib contrib-type="author"><name><surname>Parker</surname><given-names>Daniel M.</given-names></name><role content-type="http://credit.casrai.org/">Investigation</role><role content-type="http://credit.casrai.org/">Visualization</role><role content-type="http://credit.casrai.org/">Writing – Review & Editing</role><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-5352-7338</contrib-id><xref ref-type="aff" rid="a1">1</xref></contrib><contrib contrib-type="author"><name><surname>Chaumeau</surname><given-names>Victor</given-names></name><role content-type="http://credit.casrai.org/">Data Curation</role><role content-type="http://credit.casrai.org/">Formal Analysis</role><role content-type="http://credit.casrai.org/">Investigation</role><role content-type="http://credit.casrai.org/">Writing – Review & Editing</role><xref ref-type="aff" rid="a1">1</xref><xref ref-type="aff" rid="a2">2</xref><xref ref-type="aff" rid="a3">3</xref></contrib><contrib contrib-type="author"><name><surname>Wiladphaingern</surname><given-names>Jacher</given-names></name><role content-type="http://credit.casrai.org/">Data Curation</role><role content-type="http://credit.casrai.org/">Investigation</role><role content-type="http://credit.casrai.org/">Writing – Review & Editing</role><xref ref-type="aff" rid="a1">1</xref></contrib><contrib contrib-type="author"><name><surname>Imwong</surname><given-names>Mallika</given-names></name><role content-type="http://credit.casrai.org/">Investigation</role><role content-type="http://credit.casrai.org/">Resources</role><role content-type="http://credit.casrai.org/">Writing – Review & Editing</role><xref ref-type="aff" rid="a4">4</xref><xref ref-type="aff" rid="a5">5</xref></contrib><contrib contrib-type="author"><name><surname>Miotto</surname><given-names>Olivo</given-names></name><role content-type="http://credit.casrai.org/">Investigation</role><role content-type="http://credit.casrai.org/">Methodology</role><role content-type="http://credit.casrai.org/">Resources</role><role content-type="http://credit.casrai.org/">Writing – Review & Editing</role><xref ref-type="aff" rid="a4">4</xref><xref ref-type="aff" rid="a6">6</xref><xref ref-type="aff" rid="a7">7</xref></contrib><contrib contrib-type="author"><name><surname>Patumrat</surname><given-names>Krittaya</given-names></name><role content-type="http://credit.casrai.org/">Investigation</role><role content-type="http://credit.casrai.org/">Writing – Review & Editing</role><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-6585-9997</contrib-id><xref ref-type="aff" rid="a5">5</xref></contrib><contrib contrib-type="author"><name><surname>Duanguppama</surname><given-names>Jureeporn</given-names></name><role content-type="http://credit.casrai.org/">Investigation</role><role content-type="http://credit.casrai.org/">Writing – Review & Editing</role><xref ref-type="aff" rid="a5">5</xref></contrib><contrib contrib-type="author"><name><surname>Cerqueira</surname><given-names>Dominique</given-names></name><role content-type="http://credit.casrai.org/">Investigation</role><role content-type="http://credit.casrai.org/">Supervision</role><role content-type="http://credit.casrai.org/">Writing – Review & Editing</role><xref ref-type="aff" rid="a4">4</xref></contrib><contrib contrib-type="author"><name><surname>Malleret</surname><given-names>Benoit</given-names></name><role content-type="http://credit.casrai.org/">Resources</role><xref ref-type="aff" rid="a8">8</xref><xref ref-type="aff" rid="a9">9</xref></contrib><contrib contrib-type="author"><name><surname>Rénia</surname><given-names>Laurent</given-names></name><role content-type="http://credit.casrai.org/">Resources</role><role content-type="http://credit.casrai.org/">Writing – Review & Editing</role><xref ref-type="aff" rid="a9">9</xref></contrib><contrib contrib-type="author"><name><surname>Nosten</surname><given-names>Suphak</given-names></name><role content-type="http://credit.casrai.org/">Investigation</role><role content-type="http://credit.casrai.org/">Project Administration</role><role content-type="http://credit.casrai.org/">Writing – Review & Editing</role><xref ref-type="aff" rid="a1">1</xref></contrib><contrib contrib-type="author"><name><surname>von Seidlein</surname><given-names>Lorenz</given-names></name><role content-type="http://credit.casrai.org/">Conceptualization</role><role content-type="http://credit.casrai.org/">Methodology</role><role content-type="http://credit.casrai.org/">Project Administration</role><role content-type="http://credit.casrai.org/">Writing – Review & Editing</role><xref ref-type="aff" rid="a4">4</xref></contrib><contrib contrib-type="author"><name><surname>Ling</surname><given-names>Clare</given-names></name><role content-type="http://credit.casrai.org/">Investigation</role><role content-type="http://credit.casrai.org/">Project Administration</role><role content-type="http://credit.casrai.org/">Supervision</role><role content-type="http://credit.casrai.org/">Writing – Review & Editing</role><xref ref-type="aff" rid="a1">1</xref></contrib><contrib contrib-type="author"><name><surname>Proux</surname><given-names>Stéphane</given-names></name><role content-type="http://credit.casrai.org/">Investigation</role><role content-type="http://credit.casrai.org/">Project Administration</role><role content-type="http://credit.casrai.org/">Supervision</role><role content-type="http://credit.casrai.org/">Writing – Review & Editing</role><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0003-4201-5473</contrib-id><xref ref-type="aff" rid="a1">1</xref></contrib><contrib contrib-type="author"><name><surname>Corbel</surname><given-names>Vincent</given-names></name><role content-type="http://credit.casrai.org/">Conceptualization</role><role content-type="http://credit.casrai.org/">Investigation</role><role content-type="http://credit.casrai.org/">Project Administration</role><role content-type="http://credit.casrai.org/">Supervision</role><role content-type="http://credit.casrai.org/">Writing – Review & Editing</role><xref ref-type="aff" rid="a2">2</xref></contrib><contrib contrib-type="author"><name><surname>Simpson</surname><given-names>Julie A.</given-names></name><role content-type="http://credit.casrai.org/">Formal Analysis</role><role content-type="http://credit.casrai.org/">Writing – Original Draft Preparation</role><role content-type="http://credit.casrai.org/">Writing – Review & Editing</role><xref ref-type="aff" rid="a10">10</xref></contrib><contrib contrib-type="author"><name><surname>Dondorp</surname><given-names>Arjen M.</given-names></name><role content-type="http://credit.casrai.org/">Conceptualization</role><role content-type="http://credit.casrai.org/">Funding Acquisition</role><role content-type="http://credit.casrai.org/">Project Administration</role><role content-type="http://credit.casrai.org/">Supervision</role><role content-type="http://credit.casrai.org/">Writing – Review & Editing</role><xref ref-type="aff" rid="a4">4</xref><xref ref-type="aff" rid="a11">11</xref></contrib><contrib contrib-type="author"><name><surname>White</surname><given-names>Nicholas J.</given-names></name><role content-type="http://credit.casrai.org/">Conceptualization</role><role content-type="http://credit.casrai.org/">Funding Acquisition</role><role content-type="http://credit.casrai.org/">Methodology</role><role content-type="http://credit.casrai.org/">Project Administration</role><role content-type="http://credit.casrai.org/">Supervision</role><role content-type="http://credit.casrai.org/">Writing – Original Draft Preparation</role><role content-type="http://credit.casrai.org/">Writing – Review & Editing</role><xref ref-type="aff" rid="a4">4</xref><xref ref-type="aff" rid="a11">11</xref></contrib><contrib contrib-type="author"><name><surname>Nosten</surname><given-names>François H.</given-names></name><role content-type="http://credit.casrai.org/">Conceptualization</role><role content-type="http://credit.casrai.org/">Funding Acquisition</role><role content-type="http://credit.casrai.org/">Investigation</role><role content-type="http://credit.casrai.org/">Project Administration</role><role content-type="http://credit.casrai.org/">Supervision</role><role content-type="http://credit.casrai.org/">Writing – Original Draft Preparation</role><role content-type="http://credit.casrai.org/">Writing – Review & Editing</role><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-7951-0745</contrib-id><xref ref-type="aff" rid="a1">1</xref><xref ref-type="aff" rid="a11">11</xref></contrib><aff id="a1"><label>1</label>Shoklo Malaria Research Unit, Mahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Mae Sot, Thailand</aff><aff id="a2"><label>2</label>Maladies Infectieuses et Vecteurs Ecologie, Génétique, Evolution et Contrôle (IRD 224-CNRS 4280 UM1-UM2), Institut de Recherche pour le Développement, Montpellier, France</aff><aff id="a3"><label>3</label>Centre Hospitalier Régional Universitaire de Montpellier, Montpellier, France</aff><aff id="a4"><label>4</label>Mahidol Oxford Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand</aff><aff id="a5"><label>5</label>Department of Molecular Tropical Medicine and Genetics, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand</aff><aff id="a6"><label>6</label>Centre for Genomics and Global Health, Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, OX3 7BN, UK</aff><aff id="a7"><label>7</label>Wellcome Trust Sanger Institute, Cambridge, CB10 1SA, UK</aff><aff id="a8"><label>8</label>Department of Microbiology & Immunology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 119077, Singapore</aff><aff id="a9"><label>9</label>Singapore Immunology Network (SIgN), Agency for Science & Technology, Singapore, 138632, Singapore</aff><aff id="a10"><label>10</label>Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, 3053, Australia</aff><aff id="a11"><label>11</label>Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, OX3 7BN, UK</aff></contrib-group><author-notes><corresp id="c1"><label>a</label><email xlink:href="mailto:jordi.landier@gmail.com">jordi.landier@gmail.com</email></corresp><fn fn-type="COI-statement"><p><bold>Competing interests: </bold>No competing interests were disclosed.</p></fn></author-notes><pub-date pub-type="epub"><day>6</day><month>9</month><year>2017</year></pub-date><pub-date pub-type="collection"><year>2017</year></pub-date><volume>2</volume><elocation-id>81</elocation-id><history><date date-type="accepted"><day>21</day><month>8</month><year>2017</year></date></history><permissions><copyright-statement>Copyright: © 2017 Landier J et al.</copyright-statement><copyright-year>2017</copyright-year><license xlink:href="http://creativecommons.org/licenses/by/4.0/"><license-p>This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p></license></permissions><self-uri content-type="pdf" xlink:type="simple" xlink:href="wellcomeopenres-2-13252.pdf"></self-uri><abstract><p><bold>Background: </bold>Artemisinin and partner drug-resistant falciparum malaria is expanding over the Greater Mekong Sub-region (GMS). Eliminating falciparum malaria in the GMS while drugs still retain enough efficacy could prevent global spread of antimalarial resistance. Eliminating malaria rapidly requires targeting the reservoir of asymptomatic parasite carriers.</p><p> This pilot trial aimed to evaluate the acceptability, safety, feasibility and effectiveness of mass-drug administration (MDA) in reducing malaria in four villages in Eastern Myanmar.</p><p><bold>Methods: </bold>Villages with ≥30% malaria prevalence were selected. Long-lasting insecticidal bednets (LLINs) and access to malaria early diagnosis and treatment (EDT) were provided. Two villages received MDA immediately and two were followed for nine months pre-MDA. MDA consisted of a 3-day supervised course of dihydroartemisinin-piperaquine and single low-dose primaquine administered monthly for three months. Adverse events (AE) were monitored by interviews and consultations. Malaria prevalence was assessed by ultrasensitive PCR quarterly for 24 months. Symptomatic malaria incidence,entomological indices, and antimalarial resistance markers were monitored.</p><p><bold>Results: </bold>MDA was well tolerated. There were no serious AE and mild to moderate AE were reported in 5.6%(212/3931) interviews. In the smaller villages, participation to three MDA courses was 61% and 57%, compared to 28% and 29% in the larger villages. Baseline prevalence was higher in intervention than in control villages (18.7% (95%CI=16.1-21.6) versus 6.8%(5.2-8.7), p<0.0001) whereas three months after starting MDA, prevalence was lower in intervention villages (0.4%(0.04-1.3) versus 2.7%(1.7-4.1), p=0.0014). After nine months the difference was no longer significant (2.0%(1.0-3.5) versus 0.9%(0.04-1.8), p=0.10). M0-M9 symptomatic falciparum incidence was similar between intervention and control. Before/after MDA comparisons showed that asymptomatic
<italic>P. falciparum </italic>carriage and anopheline vector positivity decreased significantly whereas prevalence of the artemisinin-resistance molecular marker remained stable.</p><p><bold>Conclusions: </bold>This MDA was safe and feasible, and, could accelerate elimination of
<italic>P. falciparum </italic>in addition to EDT and LLINs
<italic></italic>when community participation was sufficient.</p></abstract><kwd-group kwd-group-type="author"><kwd>Plasmodium falciparum</kwd><kwd>Plasmodium vivax</kwd><kwd>Mass Drug Administration</kwd><kwd>Asymptomatic carriage</kwd><kwd>submicroscopic infection</kwd><kwd>artemisinin-resistance</kwd><kwd>transmission</kwd></kwd-group><funding-group><award-group id="fund-1" xlink:href="http://dx.doi.org/10.13039/100004440"><funding-source>Wellcome Trust</funding-source><award-id>101148</award-id></award-group><award-group id="fund-2" xlink:href="http://dx.doi.org/10.13039/100000865"><funding-source>Bill and Melinda Gates Foundation</funding-source><award-id>GHOPP1081420</award-id></award-group><funding-statement>This work was supported by the Wellcome Trust [101148]; and the Bill and Melinda Gates Foundation [GH OPP 1081420]. </funding-statement><funding-statement><italic>The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.</italic></funding-statement></funding-group></article-meta></front><body><sec sec-type="intro"><title>Introduction</title><p>Recent progress in the control of malaria is now under threat because the two pillars of malaria control – antimalarial drugs and insecticides – are falling to resistance
<sup><xref rid="ref-1" ref-type="bibr">1</xref></sup>. Historically, the Greater Mekong sub–region (GMS) has been the source of antimalarial drug resistance, and artemisinin resistant
<italic>Plasmodium falciparum</italic> has also emerged and recently spread in this region
<sup><xref rid="ref-2" ref-type="bibr">2</xref></sup>. Artemisinin resistance has led to the failure of artemisinin based combination treatments (ACT)
<sup><xref rid="ref-3" ref-type="bibr">3</xref>,
<xref rid="ref-4" ref-type="bibr">4</xref></sup>, the cornerstone of uncomplicated
<italic>P. falciparum</italic> malaria therapy worldwide. Without alternative medicines in the near future, the best option to prevent the spread of resistant parasites to Africa is the rapid elimination of
<italic>P. falciparum</italic> parasites from the GMS. Early detection and treatment of clinical cases at the community level is effective in preventing mortality and reduces
<italic>P. falciparum</italic> transmission and the associated morbidity
<sup><xref rid="ref-5" ref-type="bibr">5</xref>–
<xref rid="ref-7" ref-type="bibr">7</xref></sup>. However this approach alone is unlikely to halt the rapid spread of artemisinin resistance because it fails to directly address foci of asymptomatic carriage of
<italic>P. falciparum</italic>. This persistent reservoir represents the main obstacle to the rapid elimination of falciparum malaria in the GMS, where transmission is low, seasonal and unstable
<sup><xref rid="ref-8" ref-type="bibr">8</xref>,
<xref rid="ref-9" ref-type="bibr">9</xref></sup>.</p><p>Systematic antimalarial drug treatment of the entire population of these foci may be the only method to achieve a rapid elimination of the parasite reservoir in the absence of a point-of-care test sensitive enough to allow mass screening and treatment of submicroscopic carriers
<sup><xref rid="ref-10" ref-type="bibr">10</xref>–
<xref rid="ref-12" ref-type="bibr">12</xref></sup>. Mass drug administration (MDA) in malaria remains controversial because of its history of success and failure
<sup><xref rid="ref-13" ref-type="bibr">13</xref></sup>. MDA in the ACT era often relies on piperaquine, which provides approximately a one-month protection from reinfection. Adding a single low-dose of primaquine rapidly sterilises
<italic>P. falciparum</italic> infections
<sup><xref rid="ref-14" ref-type="bibr">14</xref></sup>. Promising short term results following MDA were recently obtained in Zambia, albeit in a context of generally decreasing malaria prevalence
<sup><xref rid="ref-15" ref-type="bibr">15</xref></sup>. We present a 24-month pilot study of the safety and effectiveness of MDA in reducing
<italic>P. falciparum</italic> incidence and prevalence in four villages with high prevalence of sub-microscopic infections located on the Thailand–Myanmar border, an area where artemisinin resistance is firmly established
<sup><xref rid="ref-16" ref-type="bibr">16</xref>,
<xref rid="ref-17" ref-type="bibr">17</xref></sup>.</p></sec><sec sec-type="methods"><title>Methods</title><sec><title>Study design</title><p>This study was the pilot phase of a multicentre cluster-randomized control trial conducted in several sites in the GMS and therefore limited to a sample size of four villages. It is registered at ClinicalTrials.gov:
<ext-link ext-link-type="uri" xlink:href="https://clinicaltrials.gov/ct2/show/NCT01872702">NCT01872702</ext-link>.</p><p>The study was conducted in rural Eastern Kayin (Karen) state of Myanmar, a region endemic for
<italic>P. falciparum</italic> and
<italic>P. vivax</italic> malaria
<sup><xref rid="ref-17" ref-type="bibr">17</xref></sup>. In early 2013, 12 villages were screened using a high volume ultra-sensitive qPCR assay method (uPCR) with the original intention of identifying villages with >30% malaria prevalence, of which >30% was
<italic>P. falciparum</italic> (
<xref ref-type="other" rid="SF1">Supplementary File 1</xref>:
<xref ref-type="other" rid="SF1">Table S1</xref>). However, the
<italic>P. falciparum</italic> prevalence was lower than expected, so after the survey the threshold proportion of
<italic>P. falciparum</italic> for inclusion was lowered to 10%. Four villages fulfilling this revised entry criterion were selected after community engagement and agreement by the village leaders. A malaria post (MP) was set up at month 0 (M0) in all four villages and long lasting insecticidal nets (LLIN) were provided. Two villages (referred to as A1-KNH and A2-TOT) were randomized using a flipped coin to receive anti-malarial MDA for three consecutive months (M0 to M2) immediately. The other two villages (referred to as B1-TPN and B2-HKT) were monitored for a 9-month control period with MP and LLIN only. The control period was planned originally for 12 months, but MDA had to be expedited because of accessibility concerns during the rainy season, and was given from M9 to M11. All four villages were followed for 24 months in total.</p></sec><sec><title>Ethics statement</title><p>This study protocol was reviewed and approved by OxTREC (reference no. 1017–13 and 1015–13), by the Tak Community Advisory Board
<sup><xref rid="ref-18" ref-type="bibr">18</xref></sup>, and by village committees. Participation in surveys and MDA activities was voluntary. In addition to group information during community engagement activities, participants received individual information in their language (Karen or Myanmar) and provided written informed consent before inclusion in a survey or MDA. Participants under 18 years provided an assent in addition to the consent of their parent or guardian.</p></sec><sec><title>Study participants</title><p>Participants were defined as individuals living in the village who provided information during home visits at any time point. Each participant was followed using a unique identification code to collect information on participation, adverse events, malaria carriage during surveys, clinical episodes of malaria, and mobility.</p></sec><sec><title>Interventions</title><p>Before and during the study, community engagement (CE) activities were conducted (detailed in
<xref rid="ref-19" ref-type="bibr">19</xref>). Briefly, the aim of community engagement was to present the project to the community and involve its members to create understanding and buy-in of the population, and result in a high coverage of the interventions
<sup><xref rid="ref-20" ref-type="bibr">20</xref></sup>. The different activities conducted were: workshops with authorities and local gatekeepers, meetings and activities with different population groups, health-related community incentives (ancillary care and health education; building of water catchment and distribution systems in each of the study villages)
<sup><xref rid="ref-19" ref-type="bibr">19</xref></sup>. Through this mutual understanding, the study activities could be conducted while respecting the life of the community and ensuring maximal benefit for the participants.</p><p>A population census was conducted, individuals were linked to houses (with both individual and house identification codes), and geographic references (latitude and longitude) were recorded for each house. Population movement in and out of villages was monitored by census during the quarterly surveys and by home visits. Newcomers intending to stay in the village for more than two weeks were enrolled after consenting to participate in the follow-up surveys. All newcomers arriving after MDA were offered a single curative treatment course of DP-primaquine, irrespective of disease or infection status.</p><p>A MP was set up at M0 in all four villages to provide early detection and treatment of clinical cases
<sup><xref rid="ref-7" ref-type="bibr">7</xref></sup>. Fever cases were tested with SD Bioline Pf/Pv rapid diagnostic test (RDT). Uncomplicated
<italic>P. falciparum</italic> cases were given weight-adjusted doses of dihydroartemisinin-piperaquine (DP, Guilin Pharmaceutical Co, Guilin, PRC) for three days and one 0.25mg base/kg dose of primaquine (Governement Pharmaceutical Organization, Thailand). Uncomplicated
<italic>P. vivax</italic> cases
<italic></italic> were given weight-adjusted doses of chloroquine (Governement Pharmaceutical Organization, Thailand) for three days. Severe illnesses were referred to the nearest clinic. LLINs were distributed to all households at M0.</p><p>Blood sampling surveys of the entire village population were conducted at months 0, 3, 6, 9, 12, 15, 18, and 24. Samples of 3 and 0.5 mL of blood were taken by venous puncture from survey participants over and under 5 years respectively. Malaria infection was detected in the laboratory by RDT, microscopy and by a uPCR method with an approximate limit of detection of 20 parasites/mL
<sup><xref rid="ref-8" ref-type="bibr">8</xref>,
<xref rid="ref-21" ref-type="bibr">21</xref></sup>.</p><p>Each MDA comprised a standard 3–day treatment course of DP (dihydroartemisinin (7mg/kg) and piperaquine (55 mg/kg) and one 0.25mg base/kg dose of primaquine given orally under supervision. Treatments were given three times at one-month intervals (M0 to M2 or M9 to M11).</p></sec><sec><title>Inclusion and exclusion criteria</title><p>Infants <6 months, individuals with a known allergy to any of the antimalarial drugs, and pregnant women in their first trimester were excluded from MDA participation. Pregnant women in their second or third trimester and breastfeeding mothers were eligible for DP, but excluded from primaquine treatment. Women of childbearing age were asked if they were or could be pregnant and a pregnancy test was offered if unsure. Infants <6 months were excluded from prevalence surveys.</p></sec><sec><title>Adverse event monitoring</title><p>Adverse events (AE) were monitored using a structured questionnaire on the second, third, and seventh day after the start of the MDA treatment course. During the three months of MDA, a mobile clinic staffed with a medical assistant was available in the village to provide free consultations to all villagers and to assess MDA participants presenting with AE. Serious adverse events were reported centrally.</p></sec><sec><title>Variable collection and definition</title><p><bold><italic>Participant follow-up</italic></bold>. The individual follow-up time was defined as the number of days spent within the catchment area of the MP, i.e. the village and the surrounding farms.</p><p><bold><italic>Participation in MDA</italic></bold>. Participation in MDA was measured as the total number of individuals completing one, two or three 3-day DP treatment courses divided by the total number of inhabitants present in the village at least once during the 3-month period, after excluding individuals who visited the village for two weeks or less. Individual participation in MDA was categorized in three groups: no MDA, one or two rounds (i.e. infection cured, but incomplete protection from reinfection by DP), and three rounds MDA (i.e. infection cured and 3-month protection).</p><p><bold><italic>Malaria infection prevalence</italic></bold>. Prevalence of
<italic>P. falciparum</italic> or
<italic>P. vivax</italic> infection was defined as the proportion of individuals with a positive uPCR for each parasite divided by total number of individuals sampled. When the parasite species could not be determined (because of low DNA content) samples were attributed to species based on the falciparum/vivax ratio measured in clinical cases in the village during the previous period
<sup><xref rid="ref-8" ref-type="bibr">8</xref></sup>.</p><p><bold><italic>Incidence of symptomatic malaria</italic></bold>. Symptomatic malaria cases were defined as individuals with fever (temperature ≥37.5°C) or history of fever in the past two days and confirmed falciparum or vivax infection by RDT or microscopy. During the period between surveys, cases were detected passively at the MP and confirmed by RDT. During survey periods, individuals with fever or history of fever and a positive RDT or microscopy slide (with uPCR confirmation when available) were considered clinical cases. Incidence of clinical malaria episodes in the village was expressed in cases per 1000 persons per month (number of infections during the month/sum of individual follow-up time during the month). Patients residing in nearby villages and coming to the MP for diagnosis were excluded from the analysis. Mixed infections contributed to both
<italic>P. falciparum</italic> and
<italic>P. vivax</italic> incidence.</p></sec><sec><title>Detection of molecular markers of antimalarial resistance</title><p><bold><italic>Assessment of mutations in PfKelch13</italic></bold>. Polymorphisms in the
<italic>PfKelch</italic> gene were assessed by nested PCR amplification covering the full length of the gene (total 2181 bp)
<sup><xref rid="ref-2" ref-type="bibr">2</xref></sup>, and followed by sequencing of the gene by ABI Sequencer (Macrogen Inc, South Korea). Cross contamination was monitored by adding negative control samples in every run. Sequencing results were aligned against
<italic>PfKelch13</italic> of reference strain 3D7 (putative 9PF13_0238 NCBI Reference Sequence (3D7): XM_001350122.1), using Bioedit software (Abbott, CA, USA). Polymorphic patterns were assessed by two individuals blinded to the origin of the sample.</p><p><bold><italic>PfPlasmepsin2 gene amplification</italic></bold>.
<italic>Pfplasmepsin2</italic> copy number was quantified using Relative-quantitative Real-time PCR based on Taqman probe on a Corbett Rotor-Gene
<sup>TM</sup> Q (Corbett Research, Australia). Primers and probes have been described previously
<sup><xref rid="ref-22" ref-type="bibr">22</xref></sup>. Amplification was performed in triplicate on a total volume of 25 μL as multiplex PCR using Quantitec Multiplex PCR no ROX (QIAgen, Germany). Every amplification run contained 9 replicates of calibrators and triplicates without template as negative controls.
<italic>β-tubulin</italic> served as an internal standard for the amount of sample DNA added to the reactions. Copy numbers were calculated using the formula: copy number=
<bold>2
<sup>-ΔΔCt</sup></bold> with
<bold>ΔΔ C
<sub>t</sub></bold> denoting the difference between Δ C
<sub>t</sub> of the unknown sample and Δ C
<sub>t</sub> of the reference sample.
<bold></bold></p></sec><sec><title>Entomology</title><p>Entomological surveys to identify malaria vectors species and abundance were conducted monthly in each village for five nights per month, as described elsewhere
<sup><xref rid="ref-23" ref-type="bibr">23</xref>,
<xref rid="ref-24" ref-type="bibr">24</xref></sup>. Briefly, mosquitos were collected using indoor and outdoor human landing catch (HLC) in five sites per village, yielding a total of 50 human.nights per survey. Infection of primary malaria vectors (
<italic>Anopheles minimus</italic><italic>s.l.</italic>,
<italic>An. maculatus</italic><italic>s.l.</italic>, and
<italic>An. dirus</italic><italic>s.l.</italic>) by plasmodium parasites was determined using a quantitative real-time PCR (qPCR) assay, confirmed with a second assay amplifying a different DNA target
<sup><xref rid="ref-25" ref-type="bibr">25</xref></sup>. The limit of detection of the whole procedure was 6
<italic>P. falciparum</italic> sporozoites per mosquito
<sup><xref rid="ref-25" ref-type="bibr">25</xref></sup>. Main entomological indices - human biting rate (HBR), sporozoite index (SI), and entomological inoculation rate (EIR) - were calculated.</p></sec><sec><title>Statistical analysis</title><p>Statistical analyses were performed using Stata 14.1 (StataCorp, USA). Binomial 95% confidence intervals (CIs) were calculated for prevalence and SI, and Poisson 95% CIs for incidence of clinical episodes, HBR, and EIR. Intervention and control group prevalence were compared using chi-square or Fisher’s exact test, as appropriate.</p></sec><sec><title>Pre-specified endpoints</title><p>Because the MDA in control villages was conducted earlier than originally planned (M9 instead of M12), the revised primary endpoints were defined as the prevalence of asymptomatic
<italic>P. falciparum</italic> infection 3 and 9 months after MDA. The secondary endpoints were defined as 1) safety and 2) acceptability of MDA, as evaluated by questionnaires. Additional outcome measures reported here are the incidence of clinical malaria over the first 9 months, number of people participating in MDA, and proportion of artemisinin-resistant
<italic>P. falciparum</italic> infections.</p></sec><sec><title>Before/after analysis</title><p>A post-hoc before/after analysis of the entire duration of follow-up was conducted to understand the factors influencing the impact of antimalarial MDA and the overall intervention. The effect of the intervention on
<italic>P. falciparum</italic> carriage (recorded in prevalence surveys) was estimated using Generalised Estimating Equations (GEE) with a logit link to estimate Odds Ratios (ORs), an exchangeable correlation structure and robust standard errors to account for repeated measurements at individual level. The change in odds of P. falciparum carriage compared to baseline survey was estimated in the control period and in the after MDA period. To assess the duration of MDA effect, time-dependent changes in the odds of
<italic>P. falciparum</italic> carriage were estimated separately for the control and after MDA periods. Demographic characteristics, village, age group (≤ & >10 years), sex and season, were included as covariates. The analysis was repeated to assess the effect of individual MDA participation. A direct comparison of control and after MDA periods was also conducted in which baseline
<italic>P. falciparum</italic> infection status was added as a covariate in addition to the demographic characteristics.</p></sec></sec><sec sec-type="results"><title>Results</title><p>The study was conducted between May 2013 and June 2015 (
<xref ref-type="table" rid="T1">Table 1</xref>). Of 3238 individuals recorded in the villages during the 24-month study period, 2941 participated in surveys or MDA at least once (
<xref ref-type="table" rid="T1">Table 1</xref>). The population structure and mobility were typical of rural villages in this area (
<xref ref-type="other" rid="SF1">Supplementary File 1</xref>:
<xref ref-type="other" rid="SF1">Figure S2</xref>). There was substantial turnover of the population in all villages: at any time point, between 19 and 27% of the population corresponded to individuals with <12 months follow-up (
<xref ref-type="table" rid="T1">Table 1</xref>,
<xref ref-type="other" rid="SF1">Supplementary File 1</xref>:
<xref ref-type="other" rid="SF1">Figure S2</xref> and
<xref ref-type="other" rid="SF1">Figure S3</xref>). Around 70% of people stayed in the village continuously during the three consecutive months of MDA.</p><table-wrap id="T1" orientation="portrait" position="anchor"><label>Table 1. </label><caption><title>Demographics, follow-up of participants, population coverage with mass drug administration (MDA) and duration of intervention, and access to malaria post of the four study villages in Eastern Kayin State, Myanmar.</title><p>A map of the villages is presented in
<xref ref-type="other" rid="SF1">Supplementary File 1</xref>:
<xref ref-type="other" rid="SF1">Figure S1</xref>.</p></caption><table frame="hsides" rules="groups" content-type="article-table"><thead><tr><th rowspan="1" colspan="1"></th><th align="right" rowspan="1" colspan="1">A1–KNH</th><th align="right" rowspan="1" colspan="1">A2–TOT</th><th align="right" rowspan="1" colspan="1">B1–TPN</th><th align="right" rowspan="1" colspan="1">B2–HKT</th></tr></thead><tbody><tr><td align="left" colspan="5" rowspan="1"><bold><italic>Village randomization information</italic></bold></td></tr><tr><td align="left" rowspan="1" colspan="1">Pilot survey
<italic>P. falciparum</italic> prevalence: % (n/N)</td><td align="right" rowspan="1" colspan="1">16 (8/51)</td><td align="right" rowspan="1" colspan="1">7 (3/41)</td><td align="right" rowspan="1" colspan="1">4 (2/54)</td><td align="right" rowspan="1" colspan="1">15 (7/48)</td></tr><tr><td align="left" rowspan="1" colspan="1">Pilot survey malaria prevalence: % (n/N)</td><td align="right" rowspan="1" colspan="1">42 (22/51)</td><td align="right" rowspan="1" colspan="1">42 (17/41)</td><td align="right" rowspan="1" colspan="1">32 (17/54)</td><td align="right" rowspan="1" colspan="1">42 (20/48)</td></tr><tr><td align="left" rowspan="1" colspan="1">Randomization group</td><td align="right" rowspan="1" colspan="1">Intervention</td><td align="right" rowspan="1" colspan="1">Intervention</td><td align="right" rowspan="1" colspan="1">Control
<break></break>M0M9</td><td align="right" rowspan="1" colspan="1">Control
<break></break>M0M9</td></tr><tr><td align="left" rowspan="1" colspan="1">Study start date (M0)</td><td align="right" rowspan="1" colspan="1">12/06/2013</td><td align="right" rowspan="1" colspan="1">27/05/2013</td><td align="right" rowspan="1" colspan="1">20/05/2013</td><td align="right" rowspan="1" colspan="1">02/06/2013</td></tr><tr><td align="left" rowspan="1" colspan="1">Study end date (M24)</td><td align="right" rowspan="1" colspan="1">07/05/2015</td><td align="right" rowspan="1" colspan="1">25/04/2015</td><td align="right" rowspan="1" colspan="1">27/03/2015</td><td align="right" rowspan="1" colspan="1">04/06/2015</td></tr><tr><td align="left" colspan="5" rowspan="1"><bold><italic>Population and follow-up</italic></bold></td></tr><tr><td align="left" rowspan="1" colspan="1">Total population recorded over 24 months</td><td align="right" rowspan="1" colspan="1">494</td><td align="right" rowspan="1" colspan="1">940</td><td align="right" rowspan="1" colspan="1">488</td><td align="right" rowspan="1" colspan="1">1316</td></tr><tr><td align="left" rowspan="1" colspan="1">Participants over 24 months: n (%)</td><td align="right" rowspan="1" colspan="1">484 (98)</td><td align="right" rowspan="1" colspan="1">799 (85)</td><td align="right" rowspan="1" colspan="1">473 (97)</td><td align="right" rowspan="1" colspan="1">1185 (90)</td></tr><tr><td align="left" rowspan="1" colspan="1">Median age [IQR] (years)</td><td align="right" rowspan="1" colspan="1">23 [9–41]</td><td align="right" rowspan="1" colspan="1">19 [7–38]</td><td align="right" rowspan="1" colspan="1">20 [6–38]</td><td align="right" rowspan="1" colspan="1">19 [8–38]</td></tr><tr><td align="left" rowspan="1" colspan="1">Newcomers before MDA (n)</td><td align="right" rowspan="1" colspan="1">na</td><td align="right" rowspan="1" colspan="1">na</td><td align="right" rowspan="1" colspan="1">114</td><td align="right" rowspan="1" colspan="1">293</td></tr><tr><td align="left" rowspan="1" colspan="1">Newcomers during MDA (n)</td><td align="right" rowspan="1" colspan="1">83</td><td align="right" rowspan="1" colspan="1">75</td><td align="right" rowspan="1" colspan="1">7</td><td align="right" rowspan="1" colspan="1">112</td></tr><tr><td align="left" rowspan="1" colspan="1">Newcomers after MDA (n)</td><td align="right" rowspan="1" colspan="1">103</td><td align="right" rowspan="1" colspan="1">271</td><td align="right" rowspan="1" colspan="1">46</td><td align="right" rowspan="1" colspan="1">191</td></tr><tr><td align="left" rowspan="1" colspan="1">Newcomers taking 1 systematic treatment upon arrival,
<break></break>after MDA: n/N (%)</td><td align="right" rowspan="1" colspan="1">63/103 (61)</td><td align="right" rowspan="1" colspan="1">34/271 (13)</td><td align="right" rowspan="1" colspan="1">25/46 (54)</td><td align="right" rowspan="1" colspan="1">30/191 (16)</td></tr><tr><td align="left" rowspan="1" colspan="1">Prevalence of
<italic>P. falciparum</italic> infection among newcomers
<break></break>after MDA: n/N (%)</td><td align="right" rowspan="1" colspan="1">2/78 (2.6)</td><td align="right" rowspan="1" colspan="1">3/150 (2.0)</td><td align="right" rowspan="1" colspan="1">0/32 (0)</td><td align="right" rowspan="1" colspan="1">1/170 (0.6)</td></tr><tr><td align="left" colspan="5" rowspan="1"><bold><italic>Average "real time" population composition: n (%)</italic></bold></td></tr><tr><td align="left" rowspan="1" colspan="1">Number of inhabitants
<xref ref-type="other" rid="fn5">‡</xref></td><td align="right" rowspan="1" colspan="1">344</td><td align="right" rowspan="1" colspan="1">610</td><td align="right" rowspan="1" colspan="1">317</td><td align="right" rowspan="1" colspan="1">837</td></tr><tr><td align="left" rowspan="1" colspan="1">Female
<xref ref-type="other" rid="fn5">‡</xref></td><td align="right" rowspan="1" colspan="1">163 (47)</td><td align="right" rowspan="1" colspan="1">301 (49)</td><td align="right" rowspan="1" colspan="1">147 (46)</td><td align="right" rowspan="1" colspan="1">395 (47)</td></tr><tr><td align="left" rowspan="1" colspan="1">Male
<xref ref-type="other" rid="fn5">‡</xref></td><td align="right" rowspan="1" colspan="1">181 (53)</td><td align="right" rowspan="1" colspan="1">309 (51)</td><td align="right" rowspan="1" colspan="1">170 (54)</td><td align="right" rowspan="1" colspan="1">442 (53)</td></tr><tr><td align="left" rowspan="1" colspan="1">Participants with >12 months follow-up
<xref ref-type="other" rid="fn5">‡</xref></td><td align="right" rowspan="1" colspan="1">277 (81)</td><td align="right" rowspan="1" colspan="1">463 (76)</td><td align="right" rowspan="1" colspan="1">257 (81)</td><td align="right" rowspan="1" colspan="1">613 (73)</td></tr><tr><td align="left" rowspan="1" colspan="1">Participants with 3–12 months follow-up
<xref ref-type="other" rid="fn5">‡</xref></td><td align="right" rowspan="1" colspan="1">58 (17)</td><td align="right" rowspan="1" colspan="1">124 (20)</td><td align="right" rowspan="1" colspan="1">51 (16)</td><td align="right" rowspan="1" colspan="1">192 (23)</td></tr><tr><td align="left" rowspan="1" colspan="1">Participants with <3 months
<xref ref-type="other" rid="fn5">‡</xref></td><td align="right" rowspan="1" colspan="1">9 (3)</td><td align="right" rowspan="1" colspan="1">23 (4)</td><td align="right" rowspan="1" colspan="1">9 (3)</td><td align="right" rowspan="1" colspan="1">32 (4)</td></tr><tr><td align="left" colspan="5" rowspan="1"><bold><italic>MDA implementation</italic></bold></td></tr><tr><td align="left" rowspan="1" colspan="1">MDA start date</td><td align="right" rowspan="1" colspan="1">12/06/2013</td><td align="right" rowspan="1" colspan="1">27/05/2013</td><td align="right" rowspan="1" colspan="1">28/01/2014</td><td align="right" rowspan="1" colspan="1">01/04/2014</td></tr><tr><td align="left" rowspan="1" colspan="1">Study month of MDA start</td><td align="right" rowspan="1" colspan="1">M0</td><td align="right" rowspan="1" colspan="1">M0</td><td align="right" rowspan="1" colspan="1">M9</td><td align="right" rowspan="1" colspan="1">M9</td></tr><tr><td align="left" rowspan="1" colspan="1">Duration of round 1; 2; 3 of MDA (days)</td><td align="right" rowspan="1" colspan="1">9; 10; 11</td><td align="right" rowspan="1" colspan="1">7; 14; 10</td><td align="right" rowspan="1" colspan="1">6; 9; 4</td><td align="right" rowspan="1" colspan="1">9; 9; 12</td></tr><tr><td align="left" rowspan="1" colspan="1">Duration to administer 3 doses to >90% of participants in
<break></break>1 round: mean (days)</td><td align="right" rowspan="1" colspan="1">4</td><td align="right" rowspan="1" colspan="1">6</td><td align="right" rowspan="1" colspan="1">4</td><td align="right" rowspan="1" colspan="1">6</td></tr><tr><td align="left" colspan="5" rowspan="1"><bold><italic>Population during MDA period and MDA coverage: n (%)</italic></bold></td></tr><tr><td align="left" rowspan="1" colspan="1">Present at least once during the 3 MDA months</td><td align="right" rowspan="1" colspan="1">386 (100)</td><td align="right" rowspan="1" colspan="1">662 (100)</td><td align="right" rowspan="1" colspan="1">367 (100)</td><td align="right" rowspan="1" colspan="1">977 (100)</td></tr><tr><td align="left" rowspan="1" colspan="1">Present continuously during 3 MDA months</td><td align="right" rowspan="1" colspan="1">280 (73)</td><td align="right" rowspan="1" colspan="1">488 (74)</td><td align="right" rowspan="1" colspan="1">283 (77)</td><td align="right" rowspan="1" colspan="1">618 (63)</td></tr><tr><td align="left" rowspan="1" colspan="1">Taking 0 round of MDA</td><td align="right" rowspan="1" colspan="1">26 (7)</td><td align="right" rowspan="1" colspan="1">175 (26)</td><td align="right" rowspan="1" colspan="1">28 (8)</td><td align="right" rowspan="1" colspan="1">297 (30)</td></tr><tr><td align="left" rowspan="1" colspan="1">Taking 1 round of MDA</td><td align="right" rowspan="1" colspan="1">60 (16)</td><td align="right" rowspan="1" colspan="1">180 (27)</td><td align="right" rowspan="1" colspan="1">64 (17)</td><td align="right" rowspan="1" colspan="1">220 (23)</td></tr><tr><td align="left" rowspan="1" colspan="1">Taking 2 rounds of MDA</td><td align="right" rowspan="1" colspan="1">64 (17)</td><td align="right" rowspan="1" colspan="1">122 (18)</td><td align="right" rowspan="1" colspan="1">65 (18)</td><td align="right" rowspan="1" colspan="1">180 (18)</td></tr><tr><td align="left" rowspan="1" colspan="1">Taking 3 rounds of MDA</td><td align="right" rowspan="1" colspan="1">236 (61)</td><td align="right" rowspan="1" colspan="1">185 (28)</td><td align="right" rowspan="1" colspan="1">210 (57)</td><td align="right" rowspan="1" colspan="1">280 (29)</td></tr><tr><td align="left" colspan="5" rowspan="1"><bold><italic>Malaria Post access</italic></bold></td></tr><tr><td align="left" rowspan="1" colspan="1">Consultations from the village</td><td align="right" rowspan="1" colspan="1">575</td><td align="right" rowspan="1" colspan="1">770</td><td align="right" rowspan="1" colspan="1">513</td><td align="right" rowspan="1" colspan="1">1496</td></tr><tr><td align="left" rowspan="1" colspan="1">Consultations from study participants</td><td align="right" rowspan="1" colspan="1">515</td><td align="right" rowspan="1" colspan="1">603</td><td align="right" rowspan="1" colspan="1">488</td><td align="right" rowspan="1" colspan="1">889</td></tr><tr><td align="left" rowspan="1" colspan="1"><italic>P. falciparum</italic> malaria cases from the village</td><td align="right" rowspan="1" colspan="1">6</td><td align="right" rowspan="1" colspan="1">89</td><td align="right" rowspan="1" colspan="1">9</td><td align="right" rowspan="1" colspan="1">8</td></tr><tr><td align="left" rowspan="1" colspan="1"><italic>P. vivax</italic> malaria cases from the village</td><td align="right" rowspan="1" colspan="1">81</td><td align="right" rowspan="1" colspan="1">139</td><td align="right" rowspan="1" colspan="1">47</td><td align="right" rowspan="1" colspan="1">191</td></tr><tr><td align="left" rowspan="1" colspan="1">Consultations from outside the village</td><td align="right" rowspan="1" colspan="1">465</td><td align="right" rowspan="1" colspan="1">390</td><td align="right" rowspan="1" colspan="1">192</td><td align="right" rowspan="1" colspan="1">1242</td></tr><tr><td align="left" rowspan="1" colspan="1"><italic>P. falciparum</italic> malaria cases from outside the village</td><td align="right" rowspan="1" colspan="1">11</td><td align="right" rowspan="1" colspan="1">66</td><td align="right" rowspan="1" colspan="1">4</td><td align="right" rowspan="1" colspan="1">20</td></tr><tr><td align="left" rowspan="1" colspan="1"><italic>P. vivax</italic> malaria cases from outside the village</td><td align="right" rowspan="1" colspan="1">52</td><td align="right" rowspan="1" colspan="1">67</td><td align="right" rowspan="1" colspan="1">11</td><td align="right" rowspan="1" colspan="1">277</td></tr><tr><td align="left" rowspan="1" colspan="1">Total number of weeks of MP inactivity</td><td align="right" rowspan="1" colspan="1">6</td><td align="right" rowspan="1" colspan="1">17</td><td align="right" rowspan="1" colspan="1">5</td><td align="right" rowspan="1" colspan="1">4</td></tr><tr><td align="left" rowspan="1" colspan="1">Mean consultations per 100/active week</td><td align="right" rowspan="1" colspan="1">3.2</td><td align="right" rowspan="1" colspan="1">2.0</td><td align="right" rowspan="1" colspan="1">2.0</td><td align="right" rowspan="1" colspan="1">3.8</td></tr></tbody></table><table-wrap-foot><fn><p id="fn5"><bold>‡</bold>values presented are averages over 10 census occasions during surveys in the village.</p></fn></table-wrap-foot></table-wrap><sec><title>Mass antimalarial drug administration (MDA)</title><p><bold><italic>MDA coverage</italic></bold>. The target population was 2392 residents of the four villages at the time of MDA. Overall 78% (1866/2392) received at least one 3–day course of DP and 38% (911/2392) received the full course of three treatments. Coverage was higher in the two small villages compared to the two larger villages, for uptake of at least one treatment (A1–KNH: 93%; 360/386 and B1–TPN: 92%; 339/367 compared to A2-TOT: 74%; 487/662 and B2-HKT: 70%; 680/977) and uptake of three treatments (A1–KNH: 61%; 236/386 and B1–TPN: 57%; 210/367 compared to A2-TOT: 28%; 185/662 and B2-HKT:29%; 280/977) (
<xref ref-type="table" rid="T1">Table 1</xref>;
<xref ref-type="fig" rid="f1">Figure 1</xref>).</p><fig fig-type="figure" id="f1" orientation="portrait" position="anchor"><label>Figure 1. </label><caption><title>Flow chart of the participation in antimalarial MDA in the four villages.</title></caption><graphic xlink:href="wellcomeopenres-2-13252-g0000"></graphic></fig><p><bold><italic>Safety and tolerability of MDA</italic></bold>. MDA was well accepted and well tolerated. In 3719 of 3931 (94.6%) complete structured interviews, no AE were reported. Reported AE were in majority dizziness (N=192) and pruritus (N=17). There were three reports of black urine. One G6PD-deficient male reported black urine before primaquine and one G6PD-normal male reported black urine 48h after primaquine. Neither were anaemic and both remained well. The third case, a G6PD heterozygote woman with normal G6PD activity, became anaemic but concomitant HIV and TB were considered contributory, as reported previously
<sup><xref rid="ref-26" ref-type="bibr">26</xref></sup>. The percentage of participants reporting AE declined after each MDA round from 8.2% (114/1394) to 3.7% (49/1336). Among the 200 patients who presented at the mobile clinic over the 3-month MDA period, all AE were mild or moderate and most (188/200, 94%) were rated as unrelated or unlikely to be related to treatment (
<xref ref-type="table" rid="T2">Table 2</xref>). During the 24 months of the study, there were 23 reported serious AE and 15 deaths; none were considered drug related (
<xref ref-type="other" rid="SF1">Supplementary File 1</xref>:
<xref ref-type="other" rid="SF1">Table S2</xref>). Haemoglobin decreases in G6PD-deficient individuals were minimal as already reported
<sup><xref rid="ref-26" ref-type="bibr">26</xref></sup>.</p><table-wrap id="T2" orientation="portrait" position="anchor"><label>Table 2. </label><caption><title>Safety of mass drug administration (MDA) intervention in the participant population: severity and relation to drugs of adverse events (AE) investigated at the mobile clinic set up during the three months of MDA (M0–M3 or M9–M12).</title><p>Severe AEs over the 24-month follow-up are detailed in
<xref ref-type="other" rid="SF1">Supplementary File 1</xref>:
<xref ref-type="other" rid="SF1">Table S2</xref>.</p></caption><table frame="hsides" rules="groups" content-type="article-table"><thead><tr><th rowspan="1" colspan="1"></th><th align="center" colspan="6" rowspan="1">Relationship to drug</th></tr><tr><th align="left" valign="top" rowspan="1" colspan="1">Severity</th><th align="left" valign="top" rowspan="1" colspan="1">Not related</th><th align="left" valign="top" rowspan="1" colspan="1">Unlikely
<break></break>related</th><th align="left" valign="top" rowspan="1" colspan="1">Possibly
<break></break>related</th><th align="left" valign="top" rowspan="1" colspan="1">Probably
<break></break>related</th><th align="left" valign="top" rowspan="1" colspan="1">Highly likely
<break></break>related</th><th align="left" valign="top" rowspan="1" colspan="1">Total</th></tr></thead><tbody><tr><td align="left" valign="top" rowspan="1" colspan="1"><bold>Mild</bold></td><td align="left" valign="top" rowspan="1" colspan="1">134
<break></break>Infection (71)
<break></break>Weakness (39)
<break></break>Dizziness (4)
<break></break>Allergy (1)
<break></break>Other (19)</td><td align="left" valign="top" rowspan="1" colspan="1">49
<break></break>Infection (5)
<break></break>Weakness (19)
<break></break>Dizziness (23)
<break></break>Allergy (1)
<break></break>Other (1)</td><td align="left" valign="top" rowspan="1" colspan="1">7
<break></break>Infection (2)
<break></break>Weakness (3)
<break></break>Dizziness (1)
<break></break>Allergy (1)</td><td align="left" valign="top" rowspan="1" colspan="1">0</td><td align="left" valign="top" rowspan="1" colspan="1">1
<break></break>Allergy (1)</td><td align="left" valign="top" rowspan="1" colspan="1">191</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"><bold>Moderate</bold></td><td align="left" valign="top" rowspan="1" colspan="1">5
<break></break>Infection (4)
<break></break>Other (1)</td><td align="left" valign="top" rowspan="1" colspan="1">0</td><td align="left" valign="top" rowspan="1" colspan="1">4
<break></break>Weakness (2)
<break></break>Allergy (2)</td><td align="left" valign="top" rowspan="1" colspan="1">0</td><td align="left" valign="top" rowspan="1" colspan="1">0</td><td align="left" valign="top" rowspan="1" colspan="1">9</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"><bold>Severe</bold></td><td align="left" valign="top" rowspan="1" colspan="1">0</td><td align="left" valign="top" rowspan="1" colspan="1">0</td><td align="left" valign="top" rowspan="1" colspan="1">0</td><td align="left" valign="top" rowspan="1" colspan="1">0</td><td align="left" valign="top" rowspan="1" colspan="1">0</td><td align="left" valign="top" rowspan="1" colspan="1">0</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"><bold>Total</bold></td><td align="left" valign="top" rowspan="1" colspan="1">139</td><td align="left" valign="top" rowspan="1" colspan="1">49</td><td align="left" valign="top" rowspan="1" colspan="1">11</td><td align="left" valign="top" rowspan="1" colspan="1">0</td><td align="left" valign="top" rowspan="1" colspan="1">1</td><td align="left" valign="top" rowspan="1" colspan="1">200</td></tr></tbody></table></table-wrap></sec><sec><title>Malaria prevalence</title><p>There was a significant difference in baseline
<italic>P. falciparum</italic> prevalence between intervention and control villages (18.7% (150/801) versus 6.8% (58/848); p<0.0001).</p><p>The majority of malaria infections detected by uPCR during the cross-sectional surveys were asymptomatic (86%; 1769/2059) and 70% were not detected by microscopy or RDT (1432/2059) (
<xref ref-type="other" rid="SF1">Supplementary File 1</xref>:
<xref ref-type="other" rid="SF1">Table S3</xref>). Overall, of 217 individuals positive for
<italic>P. falciparum</italic>, 17 (8%) were still positive in the following survey 3 months later, three were positive after 6 months, and one after 9 months. DP was highly efficacious; no participant receiving at least one complete 3-day DP course was positive for
<italic>P. falciparum</italic> in the survey following MDA (M3 or M12), irrespective of previous infection status (
<xref ref-type="other" rid="SF1">Supplementary File 1</xref>:
<xref ref-type="other" rid="SF1">Table S4</xref> and
<xref ref-type="other" rid="SF1">Table S5</xref>). During the follow-up (excluding MDA intervention period), 69% (707/1018) of newcomers to the villages were included in the first survey after their arrival, of whom 1.6% (11/707) were positive for
<italic>P. falciparum.</italic></p></sec><sec><title>Efficacy of MDA</title><p><bold><italic>Pilot trial endpoints: MDA+MP versus MP only comparison</italic></bold></p><p><bold>Prevalence.</bold> At M3 the prevalence of
<italic>P. falciparum</italic> infection had fallen to 0.4% (2/552; 95% CI 0.04 to 1.3), in intervention villages A1-KNH and A2-TOT, and 2.7% (22/812; 1.7 to 4.1) in non-intervention control villages, B1-TPN and B2-HKT (p=0.001). Comparing M0 to M3, prevalence decreased by 98% in MDA villages compared to a 57% decrease in control villages. At M9, the difference in prevalence was no longer significant: 2.0% (11/564; 1.0-3.5) in MDA villages, and 0.9% (9/959; 0.04-1.8) in control villages (p=0.10). Comparing M0 to M9, MDA villages exhibited an 88% decrease in prevalence, compared to an 85% decrease in control villages.</p><p><bold>Incidence.</bold> Between M0 and M9, falciparum malaria incidence was 1.0 case/1000 person-months (95%CI=0.4-1.9) in MDA villages (8/8352) compared with 1.3 case/1000 person-months (0.6-2.5) in control villages (10/7469, p=0.49).
<italic>P. vivax</italic> malaria incidence was 8.6 cases/1000 person-months (6.8-10.9) in MDA villages (72/8352), compared with 5.6 cases/1000 person-months (4.1-7.6) in control villages (42/7469, p=0.03).</p><p><bold><italic>Before versus after MDA comparison</italic></bold></p><p><bold><italic>P. falciparum</italic> infection</bold>. The impact of MDA on
<italic>P. falciparum</italic> carriage was different in the two intervention villages. In A1–KNH, there was a rapid >95% reduction in
<italic>P. falciparum</italic> prevalence, which was sustained from M3 to M24 (
<xref ref-type="fig" rid="f2">Figure 2</xref>). In contrast, in village A2–TOT, prevalence fell between M0 and M3, to reach a peak at M15 during rainy season (
<xref ref-type="fig" rid="f2">Figure 2</xref>). In this village, prevalence was maintained around 5% among individuals who did not take MDA, from M3 to M24 (
<xref ref-type="other" rid="SF1">Supplementary File 1</xref>:
<xref ref-type="other" rid="SF1">Figure S4</xref>). Prevalence in the control villages decreased gradually over the control period, dropping at 0% at M12 immediately after MDA, and remained below after MDA (
<xref ref-type="fig" rid="f2">Figure 2</xref>).</p><fig fig-type="figure" id="f2" orientation="portrait" position="anchor"><label>Figure 2. </label><caption><title>Prevalence of
<italic>P. falciparum</italic> and
<italic>P. vivax</italic> carriage over 24 months measured by uPCR in quarterly cross sectional surveys conducted in the four study villages.</title><p>A steep decrease in prevalence immediately followed MDA in all 4 villages. The reduction in
<italic>P. falciparum</italic> prevalence was sustained in 3 of 4 villages stabilizing to a <1% prevalence after MDA. In contrast
<italic>P. vivax</italic> prevalence rebounded in 3 of 4 villages. In village A2-TOT,
<italic>P. falciparum</italic> prevalence increased at M15 and M18, mostly from clinical cases occurring while vector densities and thus transmission was increased (
<xref ref-type="table" rid="T5">Table 5</xref>). A decrease in
<italic>P. falciparum</italic> prevalence was observed in the control period (M0–M9) in villages B1 and B2, possibly attributable to the effect of early diagnosis and treatment provided by MP.</p></caption><graphic xlink:href="wellcomeopenres-2-13252-g0001"></graphic></fig><p>Adjusting for age group, sex, village and season, MDA was associated with an overall 12-fold decrease in odds of
<italic>P. falciparum</italic> carriage over the full observation period (21 month for intervention and 15 months for controls) compared to baseline (OR [95%CI]=0.08 [0.05–0.11]) (
<xref ref-type="table" rid="T3">Table 3</xref>). The control period before MDA was also associated with a significant decrease in odds of
<italic>P. falciparum</italic> carriage (0.4 [0.3–0.7]) (
<xref ref-type="table" rid="T3">Table 3</xref>). This translated into a significant 5-fold odds reduction after MDA compared to control period (0.2 [0.1–0.3]).</p><table-wrap id="T3" orientation="portrait" position="anchor"><label>Table 3. </label><caption><title>Multivariable analysis of factors associated with
<italic>Plasmodium falciparum</italic> carriage during uPCR surveys over the 24-month study period and quantification of the impact of mass drug administration (MDA).</title><p>Two specifications of the MDA impact are presented showing overall impact by period (model 1) or including temporal trends (model 2). The impact of individual participation is presented in
<xref ref-type="other" rid="SF1">Supplementary File 1</xref>:
<xref ref-type="other" rid="SF1">Table S7</xref> (see also
<xref ref-type="other" rid="SF1">Supplementary File 1</xref>:
<xref ref-type="other" rid="SF1">Table S6</xref> for univariable analysis). The direct comparison between control and intervention adjusting for baseline
<italic>P. falciparum</italic> infection in presented in
<xref ref-type="other" rid="SF1">Supplementary File 1</xref>:
<xref ref-type="other" rid="SF1">Table S8</xref> and
<xref ref-type="other" rid="SF1">Supplementary File 1</xref>:
<xref ref-type="other" rid="SF1">Table S9</xref>. Baseline refers to M0 survey at the beginning of the study. Control period refers to the period between M0 and M9 in the two control villages after implementation of Malaria Post and LLIN distribution at M0. After MDA refers to the period where MDA had been conducted in addition to implementation of Malaria Post and LLIN distribution (M3 to M24 in intervention villages, M12 to M24 in control villages).</p></caption><table frame="hsides" rules="groups" content-type="article-table"><thead><tr><th align="left" rowspan="1" colspan="1">Variable</th><th align="left" colspan="2" rowspan="1">Categories</th><th align="left" rowspan="1" colspan="1">Adjusted OR</th><th align="left" rowspan="1" colspan="1">95%CI</th><th align="left" rowspan="1" colspan="1">p–value</th></tr></thead><tbody><tr><td align="left" rowspan="2" colspan="1"><bold>Age</bold></td><td align="left" rowspan="1" colspan="1">≤10 years</td><td rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1">1</td><td align="left" rowspan="1" colspan="1">Reference</td><td align="left" rowspan="1" colspan="1"><0.0001</td></tr><tr><td align="left" rowspan="1" colspan="1">>10 years</td><td rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1">2.8</td><td align="left" rowspan="1" colspan="1">1.9–4.1</td><td rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="2" colspan="1"><bold>Sex</bold></td><td align="left" rowspan="1" colspan="1">Female</td><td rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1">1</td><td align="left" rowspan="1" colspan="1">Reference</td><td align="left" rowspan="1" colspan="1"><0.0001</td></tr><tr><td align="left" rowspan="1" colspan="1">Male</td><td rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1">2.3</td><td align="left" rowspan="1" colspan="1">1.7–3.2</td><td rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="4" colspan="1"><bold>Village</bold></td><td align="left" rowspan="1" colspan="1">B2–HKT</td><td rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1">1</td><td align="left" rowspan="1" colspan="1">Reference</td><td align="left" rowspan="1" colspan="1"><0.0001</td></tr><tr><td align="left" rowspan="1" colspan="1">B1–TPN</td><td rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1">0.8</td><td align="left" rowspan="1" colspan="1">0.4–1.4</td><td rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1">A2–TOT</td><td rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1">4.0</td><td align="left" rowspan="1" colspan="1">2.4–6.5</td><td rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1">A1–KNH</td><td rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1">2.8</td><td align="left" rowspan="1" colspan="1">1.9–4.0</td><td rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="3" colspan="1"><bold>Season</bold></td><td align="left" rowspan="1" colspan="1">Cold</td><td rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1">1</td><td align="left" rowspan="1" colspan="1">Reference</td><td align="left" rowspan="1" colspan="1"><0.0001</td></tr><tr><td align="left" rowspan="1" colspan="1">Hot</td><td rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1">1.0</td><td align="left" rowspan="1" colspan="1">0.6–1.6</td><td rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1">Wet</td><td rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1">2.5</td><td align="left" rowspan="1" colspan="1">1.6–4.1</td><td rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="3" colspan="1"><bold>Model 1. Study period</bold></td><td align="left" rowspan="1" colspan="1">Baseline (M0 survey)</td><td rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1">1</td><td align="left" rowspan="1" colspan="1">Reference</td><td align="left" rowspan="1" colspan="1"><0.0001</td></tr><tr><td align="left" rowspan="1" colspan="1">Control period</td><td rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1">0.4</td><td align="left" rowspan="1" colspan="1">0.3–0.7</td><td rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1">After MDA period</td><td rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1">0.08</td><td align="left" rowspan="1" colspan="1">0.05–0.11</td><td rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="5" colspan="1"><bold>Model 2. Interaction between</bold><break></break><bold>study period and time</bold></td><td align="left" rowspan="3" colspan="1">Study period</td><td align="left" rowspan="1" colspan="1">Baseline (M0 survey)</td><td align="left" rowspan="1" colspan="1">1</td><td align="left" rowspan="1" colspan="1">Reference</td><td align="left" rowspan="1" colspan="1"><0.0001</td></tr><tr><td align="left" rowspan="1" colspan="1">Control period</td><td align="left" rowspan="1" colspan="1">0.4</td><td align="left" rowspan="1" colspan="1">0.2–0.8</td><td rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1">After MDA period</td><td align="left" rowspan="1" colspan="1">0.03</td><td align="left" rowspan="1" colspan="1">0.01–0.05</td><td rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="2" colspan="1">Time (for each additional month)</td><td align="left" rowspan="1" colspan="1">during control period</td><td align="left" rowspan="1" colspan="1">1.03</td><td align="left" rowspan="1" colspan="1">0.91–1.16</td><td rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1">during period after MDA</td><td align="left" rowspan="1" colspan="1">1.08</td><td align="left" rowspan="1" colspan="1">1.03–1.12</td><td rowspan="1" colspan="1"></td></tr></tbody></table></table-wrap><p>Compared to baseline, the decrease in odds of
<italic>P. falciparum</italic> carriage was 30-fold immediately after MDA (0.03 [0.02–0.06]). Each additional month after MDA was associated with a minimal increase in odds of
<italic>P. falciparum</italic> carriage (1.08 [1.03–1.12] for one additional month). For example, 12 months after MDA, a 15-fold reduction persisted (0.06 [0.04–0.09]). Similar results were obtained when estimating odds for each quarter instead of assuming a monthly linear trend (
<xref ref-type="other" rid="SF1">Supplementary File 1</xref>:
<xref ref-type="other" rid="SF1">Figure S5</xref>).</p><p>During the pre-MDA control period, individuals with baseline
<italic>P. falciparum</italic> infections had a significantly increased odds of subsequent
<italic>P. falciparum</italic> carriage compared to baseline uninfected individuals (17.2 [6.5–45.6]) (
<xref ref-type="other" rid="SF1">Supplementary File 1</xref>:
<xref ref-type="other" rid="SF1">Table S8</xref>). Irrespective of their baseline infection status, individuals taking one or two rounds and individuals completing the three rounds of MDA had a significantly decreased odds of being infected with
<italic>P. falciparum</italic> compared to individuals in the control period (0.2 [0.1–0.6] and 0.1 [0.03–0.4] respectively). In contrast, individuals who did not receive MDA in villages allocated to it had no decrease in the odds of
<italic>P. falciparum</italic> carriage (0.4 [0.1–1.9]) compared to the control period (
<xref ref-type="other" rid="SF1">Supplementary File 1</xref>:
<xref ref-type="other" rid="SF1">Table S8</xref>).</p><p><bold>P. falciparum clinical malaria</bold>. A total of 113
<italic>P. falciparum</italic> symptomatic cases were detected among study participants, of which 91 were detected passively by the MP and 22 were detected during surveys. An additional 19 cases were detected among non-participants (individuals who reported living in the village but were not recorded in the study, e.g. visitors).</p><p>In 3 out of 4 villages, the combined intervention of early diagnosis and treatment through the MP and MDA resulted in a dramatic and sustained decrease in the incidence of
<italic>P. falciparum</italic> clinical cases, which was close to zero after 12 months (
<xref ref-type="fig" rid="f3">Figure 3</xref>). Most of the clinical episodes (75/113, 66%) occurred during a 7–month period in village A2–TOT between July 2014 and January 2015 (M14 to M20), corresponding to the rainy and following cool seasons.</p><fig fig-type="figure" id="f3" orientation="portrait" position="anchor"><label>Figure 3. </label><caption><title>Changes in the incidence of
<italic>P. falciparum</italic> and
<italic>P. vivax</italic> clinical cases.</title><p>Clinical falciparum malaria cases persisted up to 9 months in villages achieving stable <1%
<italic>P. falciparum</italic> prevalence after MDA (A1, B1 and B2), before zero incidence was achieved. In village A2, where the intervention with MDA was not considered successful, a significant increase in incidence was observed during the rainy and cold seasons from July 2014 to January 2015.*
<italic>P. vivax</italic> incidence rate in B2-HKT for June 2015 was 100 cases/1000 person-month (95%CI=81-122).</p></caption><graphic xlink:href="wellcomeopenres-2-13252-g0002"></graphic></fig><table-wrap id="T4" orientation="portrait" position="anchor"><label>Table 4. </label><caption><title>Detection of molecular markers of antimalarial resistance in
<italic>Plasmodium falciparu</italic><italic>m</italic> positive samples according to period before and after mass drug administration (MDA).</title></caption><table frame="hsides" rules="groups" content-type="article-table"><thead><tr><th rowspan="1" colspan="1"></th><th align="left" rowspan="1" colspan="1">Before MDA</th><th align="left" rowspan="1" colspan="1">After MDA</th><th align="left" rowspan="1" colspan="1">Overall</th></tr></thead><tbody><tr><td align="left" rowspan="1" colspan="1">PF positive samples by uPCR</td><td align="left" rowspan="1" colspan="1">191</td><td align="left" rowspan="1" colspan="1">56</td><td align="left" rowspan="1" colspan="1">247</td></tr><tr><td align="left" rowspan="1" colspan="1">Sample with PfK13 result</td><td align="left" rowspan="1" colspan="1">77 (40.3%)</td><td align="left" rowspan="1" colspan="1">30 (53.6%)</td><td align="left" rowspan="1" colspan="1">107 (43.3%)</td></tr><tr><td align="left" rowspan="1" colspan="1">Samples with PfK13 mutation</td><td align="left" rowspan="1" colspan="1">66</td><td align="left" rowspan="1" colspan="1">17</td><td align="left" rowspan="1" colspan="1">83</td></tr><tr><td align="left" rowspan="1" colspan="1">PfK13 Mutation prevalence [95% CI]</td><td align="left" rowspan="1" colspan="1">85.6% [75.9–92.6]</td><td align="left" rowspan="1" colspan="1">56.7% [37.4–74.5]</td><td align="left" rowspan="1" colspan="1">77.6% [68.5–85.1]</td></tr><tr><td align="left" rowspan="1" colspan="1">Sample with Piperaquine resistance result</td><td align="left" rowspan="1" colspan="1">53 (27.7%)</td><td align="left" rowspan="1" colspan="1">16 (28.6%)</td><td align="left" rowspan="1" colspan="1">69 (27.9%)</td></tr><tr><td align="left" rowspan="1" colspan="1">Samples with Piperaquine resistance marker</td><td align="left" rowspan="1" colspan="1">0</td><td align="left" rowspan="1" colspan="1">0</td><td align="left" rowspan="1" colspan="1">0</td></tr><tr><td align="left" rowspan="1" colspan="1">Piperaquine resistance prevalence [95% CI]</td><td align="left" rowspan="1" colspan="1">0% [0–6.7]</td><td align="left" rowspan="1" colspan="1">0% [0–20.6]</td><td align="left" rowspan="1" colspan="1">0% [0–5.2]</td></tr></tbody></table></table-wrap><p><bold><italic>P. vivax infection and clinical malaria</italic></bold>. In 3 out of 4 villages,
<italic>P. vivax</italic> prevalence was reduced only transiently by MDA (
<xref ref-type="fig" rid="f2">Figure 2</xref>). Even when MDA participation was high,
<italic>P. vivax</italic> prevalence rebounded quickly to reach initial levels within 3 to 6 months. In village B1–TPN,
<italic>P. vivax</italic> prevalence did not rebound as rapidly.
<italic>P. vivax</italic> symptomatic malaria incidence was unaffected beyond the 3-month MDA period in three villages, with seasonal peaks of clinical cases during transmission seasons both before and after MDA (
<xref ref-type="fig" rid="f3">Figure 3</xref>). In village B1–TPN, the incidence did not return to pre-MDA levels.</p></sec><sec><title>Prevalence of molecular markers of antimalarial drug resistance</title><p>Data on the artemisinin resistance marker
<italic>Pfkelch13</italic> (PfK13) was available for 107 of 247 detected
<italic>P. falciparum</italic> infections. The prevalence of PfK13 mutations was 77.6% (83/107) (
<xref ref-type="table" rid="T4">Table 4</xref>). The most frequent mutations were C580Y (37.4%; 31/83) and G538V (24.1%; 20/83). The prevalence of PfK13 mutants was 85.6% (95%CI=75.9–92.6) before, and 56.7% (37.4–74.5) after MDA.</p><p>No plasmepsin 2 amplification (the molecular marker of piperaquine resistance) was found in the 69 samples that could be analysed (53 before MDA and 16 after) (
<xref ref-type="table" rid="T4">Table 4</xref>).</p></sec><sec><title>Entomological findings</title><p>The main anopheles vectors in the villages belonged to the Minimus Complex (41% of total anopheles), Maculatus Group (11%) and Dirus Complex (1%). Overall, the SI of primary malaria vectors was 2.2/1000 for
<italic>P. vivax</italic> and 0.4/1000 for
<italic>P. falciparum</italic> (
<xref ref-type="table" rid="T5">Table 5</xref>). During the period before MDA, the HBR was between 200 and 300 bites per human per month in all four villages. After MDA, the HBR was unchanged in A1-KNH and B2-HKT villages, decreased in B1-TPN, and increased in A2-TOT. In spite of these variations in abundance of vectors, SI and EIR decreased after MDA in A2-TOT. Before MDA,
<italic>P. falciparum</italic> SI was 0.9/1000 (95%CI=0.5-1.6) compared to 0.2 (95%CI=0.05-0.4) after (p=0.0001). Likewise, before MDA,
<italic>P. falciparum</italic> EIR was 0.25 infective bites/human/month (95%CI=0.13-0.43) compared to 0.06 (95%CI=0.02-0.15) after (p=0.005).</p><table-wrap id="T5" orientation="portrait" position="anchor"><label>Table 5. </label><caption><title>Human biting rate (HBR, bites/person/month), sporozoite index (SI, positive/1000) and entomological inoculation rate (EIR, infective bites/person/month) for primary malaria vectors (
<italic>Anopheles minimus</italic>,
<italic>An. maculatu</italic><italic>s</italic> and
<italic>An. dirus</italic>) by study village according to period before and after mass drug administration (MDA) intervention.</title></caption><table frame="hsides" rules="groups" content-type="article-table"><thead><tr><th rowspan="1" colspan="1"></th><th rowspan="1" colspan="1"></th><th align="center" colspan="3" rowspan="1">Before MDA
<xref ref-type="other" rid="fn1">‡</xref></th><th align="center" colspan="3" rowspan="1">After MDA</th><th align="center" colspan="3" rowspan="1">All follow-up</th></tr><tr><th rowspan="1" colspan="1"></th><th rowspan="1" colspan="1"></th><th align="center" rowspan="1" colspan="1">n/N</th><th align="right" rowspan="1" colspan="1">index</th><th align="left" rowspan="1" colspan="1">95%CI</th><th align="center" rowspan="1" colspan="1">n/N</th><th align="right" rowspan="1" colspan="1">index</th><th align="left" rowspan="1" colspan="1">95%CI</th><th align="center" rowspan="1" colspan="1">n/N</th><th align="right" rowspan="1" colspan="1">index</th><th align="left" rowspan="1" colspan="1">95%CI</th></tr></thead><tbody><tr><td align="center" rowspan="4" colspan="1"><bold>A1-KNH</bold></td><td align="left" rowspan="1" colspan="1">Human.nights</td><td align="center" rowspan="1" colspan="1">200</td><td rowspan="1" colspan="1"></td><td rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1">850</td><td rowspan="1" colspan="1"></td><td rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1">1050</td><td rowspan="1" colspan="1"></td><td rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1">HBR</td><td align="center" rowspan="1" colspan="1">1615/6.67
<xref ref-type="other" rid="fn2">*</xref></td><td align="right" rowspan="1" colspan="1">242</td><td align="left" rowspan="1" colspan="1">[231-254]</td><td align="center" rowspan="1" colspan="1">7803/28.33
<xref ref-type="other" rid="fn2">*</xref></td><td align="right" rowspan="1" colspan="1">275</td><td align="left" rowspan="1" colspan="1">[269-282]</td><td align="center" rowspan="1" colspan="1">9418/35.00
<xref ref-type="other" rid="fn2">*</xref></td><td align="right" rowspan="1" colspan="1">269</td><td align="left" rowspan="1" colspan="1">[264-275]</td></tr><tr><td align="left" rowspan="1" colspan="1">Pf-SI</td><td align="center" rowspan="1" colspan="1">3/1574
<xref ref-type="other" rid="fn3">†</xref></td><td align="right" rowspan="1" colspan="1">1.9</td><td align="left" rowspan="1" colspan="1">[0.4-5.6]</td><td align="center" rowspan="1" colspan="1">1/7307
<xref ref-type="other" rid="fn3">†</xref></td><td align="right" rowspan="1" colspan="1">0.1</td><td align="left" rowspan="1" colspan="1">[0.004-0.8]</td><td align="center" rowspan="1" colspan="1">4/8881
<xref ref-type="other" rid="fn3">†</xref></td><td align="right" rowspan="1" colspan="1">0.5</td><td align="left" rowspan="1" colspan="1">[0.1-1.2]</td></tr><tr><td align="left" rowspan="1" colspan="1">Pf-EIR</td><td rowspan="1" colspan="1"></td><td align="right" rowspan="1" colspan="1">0.46</td><td align="left" rowspan="1" colspan="1">[0.01-1.36]</td><td rowspan="1" colspan="1"></td><td align="right" rowspan="1" colspan="1">0.04</td><td align="left" rowspan="1" colspan="1">[0.001-0.21]</td><td rowspan="1" colspan="1"></td><td align="right" rowspan="1" colspan="1">0.12</td><td align="left" rowspan="1" colspan="1">[0.03-0.31]</td></tr><tr><td align="center" rowspan="4" colspan="1"><bold>A2-TOT</bold></td><td align="left" rowspan="1" colspan="1">Human.nights</td><td align="center" rowspan="1" colspan="1">150</td><td rowspan="1" colspan="1"></td><td rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1">900</td><td rowspan="1" colspan="1"></td><td rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1">1050</td><td rowspan="1" colspan="1"></td><td rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1">HBR</td><td align="center" rowspan="1" colspan="1">1776/5.00
<xref ref-type="other" rid="fn2">*</xref></td><td align="right" rowspan="1" colspan="1">355</td><td align="left" rowspan="1" colspan="1">[339-372]</td><td align="center" rowspan="1" colspan="1">22438/30.00
<xref ref-type="other" rid="fn2">*</xref></td><td align="right" rowspan="1" colspan="1">748</td><td align="left" rowspan="1" colspan="1">[738-758]</td><td align="center" rowspan="1" colspan="1">24214/35.00
<xref ref-type="other" rid="fn2">*</xref></td><td align="right" rowspan="1" colspan="1">692</td><td align="left" rowspan="1" colspan="1">[683-701]</td></tr><tr><td align="left" rowspan="1" colspan="1">Pf-SI</td><td align="center" rowspan="1" colspan="1">3/1729
<xref ref-type="other" rid="fn3">†</xref></td><td align="right" rowspan="1" colspan="1">1.7</td><td align="left" rowspan="1" colspan="1">[0.4-5.1]</td><td align="center" rowspan="1" colspan="1">3/20742
<xref ref-type="other" rid="fn3">†</xref></td><td align="right" rowspan="1" colspan="1">0.1</td><td align="left" rowspan="1" colspan="1">[0.03-0.4]</td><td align="center" rowspan="1" colspan="1">6/22471
<xref ref-type="other" rid="fn3">†</xref></td><td align="right" rowspan="1" colspan="1">0.3</td><td align="left" rowspan="1" colspan="1">[0.1-0.6]</td></tr><tr><td align="left" rowspan="1" colspan="1">Pf-EIR</td><td rowspan="1" colspan="1"></td><td align="right" rowspan="1" colspan="1">0.61</td><td align="left" rowspan="1" colspan="1">[0.13-1.88]</td><td rowspan="1" colspan="1"></td><td align="right" rowspan="1" colspan="1">0.10</td><td align="left" rowspan="1" colspan="1">[0.02-0.30]</td><td rowspan="1" colspan="1"></td><td align="right" rowspan="1" colspan="1">0.17</td><td align="left" rowspan="1" colspan="1">[0.07-0.39]</td></tr><tr><td align="center" rowspan="4" colspan="1"><bold>B1-TPN</bold></td><td align="left" rowspan="1" colspan="1">Human.nights</td><td align="center" rowspan="1" colspan="1">600</td><td rowspan="1" colspan="1"></td><td rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1">400</td><td rowspan="1" colspan="1"></td><td rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1">1000</td><td rowspan="1" colspan="1"></td><td rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1">HBR</td><td align="center" rowspan="1" colspan="1">4500/20.00
<xref ref-type="other" rid="fn2">*</xref></td><td align="right" rowspan="1" colspan="1">225</td><td align="left" rowspan="1" colspan="1">[218-232]</td><td align="center" rowspan="1" colspan="1">1419/13.33
<xref ref-type="other" rid="fn2">*</xref></td><td align="right" rowspan="1" colspan="1">106</td><td align="left" rowspan="1" colspan="1">[101-112]</td><td align="center" rowspan="1" colspan="1">5919/33.33
<xref ref-type="other" rid="fn2">*</xref></td><td align="right" rowspan="1" colspan="1">178</td><td align="left" rowspan="1" colspan="1">[173-182]</td></tr><tr><td align="left" rowspan="1" colspan="1">Pf-SI</td><td align="center" rowspan="1" colspan="1">2/4265
<xref ref-type="other" rid="fn3">†</xref></td><td align="right" rowspan="1" colspan="1">0.5</td><td align="left" rowspan="1" colspan="1">[0.1-1.7]</td><td align="center" rowspan="1" colspan="1">1/1271
<xref ref-type="other" rid="fn3">†</xref></td><td align="right" rowspan="1" colspan="1">0.8</td><td align="left" rowspan="1" colspan="1">[0.02-4.4]</td><td align="center" rowspan="1" colspan="1">3/5536
<xref ref-type="other" rid="fn3">†</xref></td><td align="right" rowspan="1" colspan="1">0.5</td><td align="left" rowspan="1" colspan="1">[0.1-0.6]</td></tr><tr><td align="left" rowspan="1" colspan="1">Pf-EIR</td><td rowspan="1" colspan="1"></td><td align="right" rowspan="1" colspan="1">0.12</td><td align="left" rowspan="1" colspan="1">[0.01-0.38]</td><td rowspan="1" colspan="1"></td><td align="right" rowspan="1" colspan="1">0.08</td><td align="left" rowspan="1" colspan="1">[0.002-0.46]</td><td rowspan="1" colspan="1"></td><td align="right" rowspan="1" colspan="1">0.11</td><td align="left" rowspan="1" colspan="1">[0.02-0.28]</td></tr><tr><td align="center" rowspan="4" colspan="1"><bold>B2-HKT</bold></td><td align="left" rowspan="1" colspan="1">Human.nights</td><td align="center" rowspan="1" colspan="1">670</td><td rowspan="1" colspan="1"></td><td rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1">350</td><td rowspan="1" colspan="1"></td><td rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1">1020</td><td rowspan="1" colspan="1"></td><td rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1">HBR</td><td align="center" rowspan="1" colspan="1">6771/22.33
<xref ref-type="other" rid="fn2">*</xref></td><td align="right" rowspan="1" colspan="1">302</td><td align="left" rowspan="1" colspan="1">[296-310]</td><td align="center" rowspan="1" colspan="1">3870/11.67
<xref ref-type="other" rid="fn2">*</xref></td><td align="right" rowspan="1" colspan="1">332</td><td align="left" rowspan="1" colspan="1">[321-342]</td><td align="center" rowspan="1" colspan="1">10641/34.00
<xref ref-type="other" rid="fn2">*</xref></td><td align="right" rowspan="1" colspan="1">312</td><td align="left" rowspan="1" colspan="1">[307-319]</td></tr><tr><td align="left" rowspan="1" colspan="1">Pf-SI</td><td align="center" rowspan="1" colspan="1">5/6632
<xref ref-type="other" rid="fn3">†</xref></td><td align="right" rowspan="1" colspan="1">0.8</td><td align="left" rowspan="1" colspan="1">[0.2-1.8]</td><td align="center" rowspan="1" colspan="1">0/3809
<xref ref-type="other" rid="fn3">†</xref></td><td align="right" rowspan="1" colspan="1">0</td><td align="left" rowspan="1" colspan="1">[0-1]</td><td align="center" rowspan="1" colspan="1">5/10441
<xref ref-type="other" rid="fn3">†</xref></td><td align="right" rowspan="1" colspan="1">0.5</td><td align="left" rowspan="1" colspan="1">[0.2-1.1]</td></tr><tr><td align="left" rowspan="1" colspan="1">Pf-EIR</td><td rowspan="1" colspan="1"></td><td align="right" rowspan="1" colspan="1">0.21</td><td align="left" rowspan="1" colspan="1">[0.07-0.54]</td><td rowspan="1" colspan="1"></td><td align="right" rowspan="1" colspan="1">0</td><td align="left" rowspan="1" colspan="1">[0-0.36]</td><td rowspan="1" colspan="1"></td><td align="right" rowspan="1" colspan="1">0.14</td><td align="left" rowspan="1" colspan="1">[0.05-0.36]</td></tr><tr><td align="center" rowspan="4" colspan="1"><bold>4 villages</bold></td><td align="left" rowspan="1" colspan="1">Human.nights</td><td align="center" rowspan="1" colspan="1">1620</td><td rowspan="1" colspan="1"></td><td rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1">2500</td><td rowspan="1" colspan="1"></td><td rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1">4120</td><td rowspan="1" colspan="1"></td><td rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1">HBR</td><td align="center" rowspan="1" colspan="1">14662/54.00
<xref ref-type="other" rid="fn2">*</xref></td><td align="right" rowspan="1" colspan="1">272</td><td align="left" rowspan="1" colspan="1">[267-276]</td><td align="center" rowspan="1" colspan="1">35530/83.33
<xref ref-type="other" rid="fn2">*</xref></td><td align="right" rowspan="1" colspan="1">426</td><td align="left" rowspan="1" colspan="1">[422-431]</td><td align="center" rowspan="1" colspan="1">50192/137.33
<xref ref-type="other" rid="fn2">*</xref></td><td align="right" rowspan="1" colspan="1">365</td><td align="left" rowspan="1" colspan="1">[362-369]</td></tr><tr><td align="left" rowspan="1" colspan="1">Pf-SI</td><td align="center" rowspan="1" colspan="1">13/14200
<xref ref-type="other" rid="fn3">†</xref></td><td align="right" rowspan="1" colspan="1">0.9</td><td align="left" rowspan="1" colspan="1">[0.5-1.6]</td><td align="center" rowspan="1" colspan="1">5/33129
<xref ref-type="other" rid="fn3">†</xref></td><td align="right" rowspan="1" colspan="1">0.2</td><td align="left" rowspan="1" colspan="1">[0.05-0.4]</td><td align="center" rowspan="1" colspan="1">18/47329
<xref ref-type="other" rid="fn3">†</xref></td><td align="right" rowspan="1" colspan="1">0.4</td><td align="left" rowspan="1" colspan="1">[0.2-0.6]</td></tr><tr><td align="left" rowspan="1" colspan="1">Pf-EIR</td><td rowspan="1" colspan="1"></td><td align="right" rowspan="1" colspan="1">0.25</td><td align="left" rowspan="1" colspan="1">[0.13-0.43]</td><td rowspan="1" colspan="1"></td><td align="right" rowspan="1" colspan="1">0.06</td><td align="left" rowspan="1" colspan="1">[0.02-0.15]</td><td rowspan="1" colspan="1"></td><td align="right" rowspan="1" colspan="1">0.14</td><td align="left" rowspan="1" colspan="1">[0.08-0.22]</td></tr></tbody></table><table-wrap-foot><fn><p id="fn1">‡ 1 to 2 surveys conducted during MDA intervention are included for each village</p><p id="fn2">* n captured/N person.time exposed (human.months)</p><p id="fn3">† n positive/N tested</p></fn></table-wrap-foot></table-wrap></sec></sec><sec sec-type="discussion"><title>Discussion</title><p>The rapid emergence of artemisinin resistance followed by ACT partner drug resistance in
<italic>P. falciparum</italic> parasites in the GMS leaves few options to prevent worsening malaria and spread of resistance westwards, as has occurred before. This preliminary evaluation of the feasibility, safety and effectiveness of MDA in accelerating the elimination of artemisinin-resistant
<italic>P. falciparum</italic> in communities with a high prevalence of asymptomatic malaria shows that MDA with DP and a single low dose of primaquine was safe and well accepted
<sup><xref rid="ref-26" ref-type="bibr">26</xref></sup>. Most participants did not report any AE, and those who did reported only mild and transient AE which declined in frequency after each successive round. Access to diagnosis and treatment, an essential component of malaria control, was deployed at baseline and had a substantial impact on malaria, which was augmented by MDA. When coverage was high, MDA provided a marked and long-lasting impact on
<italic>P. falciparum</italic> malaria prevalence and incidence, but these benefits were transient in one village (A2-TOT). Overall, the odds of
<italic>P. falciparum</italic> carriage decreased by >95% immediately after MDA in comparison with baseline and an 80% decrease was maintained for 24 months.</p><p>The effect of these interventions on
<italic>P. vivax</italic> malaria was substantially less important, as expected. The MDA did not target hypnozoites, so relapses of vivax were not prevented and
<italic>P. vivax</italic> incidence and prevalence rose rapidly after the period of post treatment prophylaxis. Because of the relatively high prevalence of G6PD deficiency in this population and the unavailability of rapid testing, radical cure with primaquine was not used in
<italic>P. vivax</italic> malaria treatment. Interestingly, in village B1-TPN only, the prevalence of
<italic>P. vivax</italic> infection fell and did not rebound.</p><sec><title>Limitations of the study</title><p>The main limitation of this study is that, being a pilot investigation, it is underpowered to draw definitive conclusions on the overall benefit of this approach. The comparison between intervention and control is indeed strongly influenced by individual village characteristics: although the four villages had similar malaria prevalence in the pre-survey (
<xref ref-type="table" rid="T1">Table 1</xref>,
<xref ref-type="other" rid="SF1">Supplementary File 1</xref>:
<xref ref-type="other" rid="SF1">Table S1</xref>), they were significantly different in the baseline exhaustive survey with a higher prevalence of asymptomatic malaria in the villages receiving MDA first.</p><p>A second limitation was that the beneficial effects of MDA could not be evaluated independently from the continuing effects of the malaria post and the LLINs. Their benefits are illustrated in the control villages where there was three-fold reduction in
<italic>P. falciparum</italic> prevalence over a nine month observation period until MDA was conducted. As the two control villages had a relatively low baseline
<italic>P. falciparum</italic> prevalence, the impact in a higher prevalence setting of instituting a malaria post and distributing LLIN without providing MDA cannot be predicted from these observations. Nevertheless providing MDA in these control villages after nine months reduced prevalence by 100% immediately after MDA, showing an additional effect of MDA to enhanced control measures, as shown recently in Zambia
<sup><xref rid="ref-15" ref-type="bibr">15</xref></sup>.</p><p>Third, those who refused MDA were less likely to participate in surveys (as in village A2-TOT). This led to underestimation of the true prevalence of malaria, which was close to zero in the general survey population but 5% in the group of survey participants who did not take MDA. Individual participation in MDA was therefore included in the statistical models of impact to take this into account.</p></sec><sec><title>Interpretation</title><p>The sustained reduction in
<italic>P. falciparum</italic> prevalence in village A1-KNH, where MDA coverage was high, suggests a reduction of malaria transmission. This is supported by finding reductions of similar magnitude in
<italic>P. falciparum</italic> SI and EIR, while HBR remained stable. By contrast, in A2–TOT,
<italic>P. falciparum</italic> prevalence and incidence increased as vector abundance rose during the rainy and cold seasons of 2014, 14 to 20 months after MDA (
<xref ref-type="table" rid="T5">Table 5</xref>). In this community broken by years of conflict, participation with MDA was low and the reservoir of sub-microscopic malaria parasite carriage was reduced only partially. The non-MDA participants may have contributed as a reservoir for
<italic>P. falciparum</italic>, as indicated by a continuously high prevalence of asymptomatic
<italic>P. falciparum</italic> carriage (5%) in this group. In addition, the MP was not functioning properly during the first year, with frequent interruptions of activity and the lowest rate of consultations among the four villages (
<xref ref-type="table" rid="T1">Table 1</xref> and
<xref ref-type="other" rid="SF1">Supplementary File 1</xref>:
<xref ref-type="other" rid="SF1">Figure S6</xref>). These observations illustrate the ‘real-life’ challenges that would confront a programme aiming for rapid elimination, and confirm the well described necessity of ensuring high coverage in any MDA campaign. They also underline the essential importance of providing diagnosis and effective treatment, both immediately after MDA and in an outbreak context as experienced in A2-TOT between M14 and 20. The low prevalence observed at M24 (2%) is likely the result of the adequate treatment of clinical episodes by the MP during the period M12 to M24, contrasting with the dysfunctions observed between M0 and M12.</p><p>Importantly this intervention does not appear to have modified the resistance profile of
<italic>P. falciparum</italic> in the area. The prevalence of mutations in the artemisinin resistance marker PfK13 did not increase and there was no indication that piperaquine resistance was selected, although numbers were small. No markers of piperaquine resistance were found either in >200 samples from clinics covering the same area and period, where DP was used for routine treatment of clinical cases (Miotto O, unpublished data).</p></sec></sec><sec sec-type="conclusions"><title>Conclusion</title><p>This pilot study shows that MDA with three rounds of a treatment course of DP and a single low dose of primaquine at one month interval is well tolerated, safe and feasible once the community has been successfully engaged in participation to activities and ownership of the program. It provides evidence that in a remote malaria endemic area, following implementation and support of a functioning MP, and distribution of LLIN, MDA eliminates the sub-microscopic parasites in those who take it. If a sufficiently high proportion of the community participates and if early diagnosis and treatment of clinical episodes remains available, this has a long lasting effect on falciparum malaria reservoir. By contrast,
<italic>P. vivax</italic> returns rapidly, presumably because of relapse, which occurs frequently in the GMS. These preliminary findings need confirmation and exploration in further studies. Scaling up to provide MDA to larger populations will introduce new challenges of feasibility, but may improve overall effects as human migration from untreated areas becomes less likely. From a community perspective, elimination of malaria means elimination of all malaria, and to achieve that rapidly will require targeting the vivax hypnozoite reservoir.</p></sec><sec><title>Data availability</title><p>The data referenced by this article are under copyright with the following copyright statement: Copyright: © 2017 Landier J et al.</p><p>The data is available upon request to the Mahidol Oxford Tropical Medicine Research Unit Data Access Committee (
<xref ref-type="other" rid="SF2">Supplementary File 2</xref>;
<ext-link ext-link-type="uri" xlink:href="http://www.tropmedres.ac/data-sharing">http://www.tropmedres.ac/data-sharing</ext-link>) and following the Mahidol Oxford Tropical Medicine Research Unit data access policy (
<ext-link ext-link-type="uri" xlink:href="http://www.tropmedres.ac/_asset/file/data-sharing-policy-v1-0.pdf">http://www.tropmedres.ac/_asset/file/data-sharing-policy-v1-0.pdf</ext-link>).</p></sec></body><back><ack><title>Acknowledgements</title><p>The authors would like to thank the population from the communities of the four villages, the Karen Department of Health and Welfare and all Karen community-based organisations providing health services to these communities. The authors also thank the investigators of the other study sites for fruitful discussions and collaborations. The Shoklo Malaria Research Unit is part of the Mahidol Oxford University Research Unit supported by the Wellcome Trust of Great Britain.</p></ack><sec sec-type="supplementary-material"><title>Supplementary material</title><p id="SF1">Supplementary File 1: Supplementary results.</p><p><supplementary-material content-type="local-data" id="S0"><media xlink:href="wellcomeopenres-2-13252-s0000.tgz"><caption><p>Click here for additional data file.</p></caption></media></supplementary-material></p><p id="SF2">Supplementary File 2: Request form for Mahidol Oxford Tropical Medicine Research Unit Data Access Committee.</p><p><supplementary-material content-type="local-data" id="S1"><media xlink:href="wellcomeopenres-2-13252-s0001.tgz"><caption><p>Click here for additional data file.</p></caption></media></supplementary-material></p></sec><ref-list><ref id="ref-1"><label>1</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>White</surname><given-names>NJ</given-names></name><name><surname>Pukrittayakamee</surname><given-names>S</given-names></name><name><surname>Hien</surname><given-names>TT</given-names></name><etal></etal></person-group>:
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<pub-id pub-id-type="pmid">27010542</pub-id></mixed-citation></ref></ref-list></back><sub-article id="report25742" article-type="ref-report"><front-stub><article-id pub-id-type="doi">10.21956/wellcomeopenres.13252.r25742</article-id><title-group><article-title>Referee response for version 1</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Drakeley</surname><given-names>Chris J.</given-names></name><xref ref-type="aff" rid="r25742a1">1</xref><role>Referee</role></contrib><contrib contrib-type="author"><name><surname>Goncalves</surname><given-names>Bronner</given-names></name><xref ref-type="aff" rid="r25742a2">2</xref><role>Co-referee</role></contrib><contrib contrib-type="author"><name><surname>Stresman</surname><given-names>Gillian</given-names></name><xref ref-type="aff" rid="r25742a3">3</xref><role>Co-referee</role></contrib><aff id="r25742a1"><label>1</label>Faculty of Infectious and Tropical Diseases, London School of Hygiene & Tropical Medicine, London, UK</aff><aff id="r25742a2"><label>2</label>Department of Immunology and Infection, London School of Hygiene & Tropical Medicine, London, UK</aff><aff id="r25742a3"><label>3</label>Faculty of Infectious & Tropical Diseases, London School of Hygiene & Tropical Medicine, London, UK</aff></contrib-group><author-notes><fn fn-type="COI-statement"><p><bold>Competing interests: </bold>No competing interests were disclosed.</p></fn></author-notes><pub-date pub-type="epub"><day>9</day><month>10</month><year>2017</year></pub-date><related-article id="d35e4498" related-article-type="peer-reviewed-article" ext-link-type="doi" xlink:href="10.12688/wellcomeopenres.12240.1"></related-article><custom-meta-group><custom-meta><meta-name>recommendation</meta-name><meta-value>approve</meta-value></custom-meta></custom-meta-group></front-stub><body><p>This is a comprehensive presentation of findings from a pilot trial in which Landier and colleagues show that mass drug administration had an immediate effect on falciparum parasite carriage, in both human and vector populations. In 3 of the 4 study villages, prevalence of falciparum infection remained low during the 24 month follow-up period. The effects of MDA are particularly impressive given the fluid nature of the population and relatively low level of effective coverage (especially in larger villages). MDA appeared not to affect the incidence of clinical malaria episodes when compared to the control (‘pre-MDA’) villages. However, in the control villages, early diagnosis and treatment provided by MP was associated with reductions in malaria transmission, comparable to that seen in villages with MP and MDA. The relative contribution of MDA over MP is a key question for malaria control programmes as they seek to decide whether ensuring basic diagnostics and treatment is sufficient to eliminate malaria. The data are interesting but fall short of answering this comprehensively given the small sample size - presumably this will be a focus of the main study.</p><p><underline>Abstract:</underline></p><p> It is not clear what refers to falciparum and what refers to
<italic>vivax</italic> infections. It seems from the methods section that the criterion was >10% falciparum prevalence. Also, it is not clear by what method this prevalence is assessed.</p><p> What population size is village size small or large?</p><p> Vector positivity presumably means sporozoite.</p><p><underline>Introduction:</underline></p><p> The evidence for the effect of treatment of the reduction of transmission is quite sparse and typically from areas with good health systems and low transmission. Context could be improved here.</p><p> It might help to cite studies that show mosquito feeding experiments in SE Asia have shown that most infections come from symptomatic infections.</p><p> Primaquine does not strictly sterilize infections – it has little demonstrable effect on asexual parasites.</p><p><underline>Methods:</underline></p><p> Were the numbers malaria posts proportional to population?</p><p> What was the rationale for no radical cure for
<italic>P.vivax</italic>?</p><p> Why was parasite prevalence was not assessed in infants? One might expect that the overall transmission effect of MDA (and MP) on parasite prevalence would also be seen in this group.</p><p> Does malaria infection prevalence represent for each or for either ?</p><p> Why the change in time for MDA from M12 to M9? this seems irrational and inconsistent with the rigour of the general context of the study. It does not allow similar follow up periods and confounds any potential seasonal effects.</p><p><underline>Results:</underline></p><p> How did population movement relate to coverage? Were those individuals who spent less time in villages less likely to receive MDA? What was the prevalence of infection in this group?</p><p> There is a lack of spatial analysis. The authors could use the georeferenced data to estimate whether MDA coverage predicted residual parasite prevalence spatially. Similarly, it would be interesting to understand if compliance was spatially aggregated (presumably it was). Also, were AEs related to coverage? The prevalence of AEs declined after each round, but that could be related to individuals most likely to develop AEs refusing to receive additional treatment. What was the prevalence of AEs in the different rounds in those individuals who received all 3 treatments?</p><p> The most informative analysis is the comparison in the control villages before MDA (so effect due to MP alone) versus after MDA (combined MDA and MP effects). The GEE model estimated that the post-MDA period was associated with 5 fold reduction in falciparum carriage. However there was a clear trend of declining falciparum prevalence during the pre-MDA period. How much of this 5-fold reduction is related to the continued reduction in transmission due to MP.</p><p> “During the pre-MDA control period, individual with baseline
<italic>P. falciparum</italic> infections had a significantly increased odds of subsequent
<italic>P. falciparum</italic> carriage…” – is this related to age? To occupation? Residence?</p><p> It would be interesting to see a graph that shows temporal variation in the entomological parameters together with human prevalence and comments on the effect of seasonality.</p><p><underline>Discussion</underline></p><p> The authors argue that access to diagnosis and treatment had an important effect on transmission that was “augmented by MDA”. The design of the study and the limited number of villages does not really justify this conclusion. In the control villages, where MDA was implemented 9 months after improved access to diagnosis and treatment, there was a clear trend of decreasing transmission before MDA. It is not clear how the authors expect to quantify effectiveness of MDA, that is independent of MP, using this design. This needs to be mentioned early in the discussion as this comparison is the main question the study wants to address: the added value of MDA in area with improved access to diagnosis and treatment.</p><p> Authors could discuss what additional interventions should be considered to sustain vivax transmission reduction.</p><p> It might be worth speculating how malaria elimination can be delayed by not treating first trimester pregnant women and infants.</p><p>We have read this submission. We believe that we have an appropriate level of expertise to confirm that it is of an acceptable scientific standard.</p></body></sub-article><sub-article id="report25746" article-type="ref-report"><front-stub><article-id pub-id-type="doi">10.21956/wellcomeopenres.13252.r25746</article-id><title-group><article-title>Referee response for version 1</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Fairhurst</surname><given-names>Rick M.</given-names></name><xref ref-type="aff" rid="r25746a1">1</xref><role>Referee</role></contrib><aff id="r25746a1"><label>1</label>Laboratory of Malaria and Vector Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health , Rockville, MD, USA</aff></contrib-group><author-notes><fn fn-type="COI-statement"><p><bold>Competing interests: </bold>No competing interests were disclosed.</p></fn></author-notes><pub-date pub-type="epub"><day>27</day><month>9</month><year>2017</year></pub-date><related-article id="d35e4626" related-article-type="peer-reviewed-article" ext-link-type="doi" xlink:href="10.12688/wellcomeopenres.12240.1"></related-article><custom-meta-group><custom-meta><meta-name>recommendation</meta-name><meta-value>approve</meta-value></custom-meta></custom-meta-group></front-stub><body><p>Suggest line numbers be added to future manuscript versions to facilitate peer review.</p><p> Page 3, right column, para 1, line 2: Suggest mentioning the net-to-person ratio for bed net distribution. Were all individuals provided a net, was each household provided a single net to share, etc.?</p><p> Page 3, right column, para 2, line 8: Suggest mentioning the lower age at which assent was obtained.</p><p> Page 5, right column, para 2: Can the authors explain why uptake was higher in the smaller versus the larger villages? Did the larger villages experience more out-migration during the study period, were there logistical problems in tracking down all previous participants in the larger villages, etc.?</p><p> Page 5, right column, para 3, line 1: Is the acceptability of MDA simply inferred because AEs were mild or moderate? Or was a specific assessment of acceptability made?</p><p> Page 5, right column, para 3: Suggest mentioning whether any of the AEs were treatment-limiting.</p><p> Page 8, left column, para 1, line 1: Suggest mentioning why the other 31% of newcomers could not be included in the first survey.</p><p> Page 8, Figure 2, panels A, B and D: The reappearance of Pv parasites within 3-6 months are obviously due to relapsing Pv from the liver, but do the authors know whether this rate of reappearance is typical following DP/MDA in this area? Also, can they speculate why there was very little Pv relapse in B1-TPN? This finding is mentioned twice in the manuscript text, but no speculation is offered.</p><p> Page 10, right column, para 2, line 6: Is the difference in K13 mutation prevalence before and after MDA significant? Had the authors hypothesized a priori that MDA would have a selective effect on reducing the prevalence of K13-mutant infections?</p><p> Page 10, right column, para 4, line 3: Suggest adding a citation to support the notion that these vectors are the contemporaneous primary malaria vectors in this area.</p><p>I have read this submission. I believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard.</p></body></sub-article></pmc></record>Pour manipuler ce document sous Unix (Dilib)
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