Bayesian geostatistical modelling of malaria and lymphatic filariasis infections in Uganda: predictors of risk and geographical patterns of co-endemicity.
Identifieur interne : 002430 ( PubMed/Corpus ); précédent : 002429; suivant : 002431Bayesian geostatistical modelling of malaria and lymphatic filariasis infections in Uganda: predictors of risk and geographical patterns of co-endemicity.
Auteurs : Anna-Sofie Stensgaard ; Penelope Vounatsou ; Ambrose W. Onapa ; Paul E. Simonsen ; Erling M. Pedersen ; Carsten Rahbek ; Thomas K. KristensenSource :
- Malaria journal [ 1475-2875 ] ; 2011.
English descriptors
- KwdEn :
- Adolescent, Animals, Antigens, Protozoan (blood), Blood (parasitology), Child, Child, Preschool, Elephantiasis, Filarial (epidemiology), Endemic Diseases, Female, Geography, Humans, Malaria (epidemiology), Male, Models, Statistical, Parasitemia (epidemiology), Plasmodium (isolation & purification), Risk Assessment, Uganda (epidemiology), Wuchereria bancrofti (isolation & purification), Young Adult.
- MESH :
- chemical , blood : Antigens, Protozoan.
- geographic , epidemiology : Uganda.
- epidemiology : Elephantiasis, Filarial, Malaria, Parasitemia.
- isolation & purification : Plasmodium, Wuchereria bancrofti.
- parasitology : Blood.
- Adolescent, Animals, Child, Child, Preschool, Endemic Diseases, Female, Geography, Humans, Male, Models, Statistical, Risk Assessment, Young Adult.
Abstract
In Uganda, malaria and lymphatic filariasis (causative agent Wuchereria bancrofti) are transmitted by the same vector species of Anopheles mosquitoes, and thus are likely to share common environmental risk factors and overlap in geographical space. In a comprehensive nationwide survey in 2000-2003 the geographical distribution of W. bancrofti was assessed by screening school-aged children for circulating filarial antigens (CFA). Concurrently, blood smears were examined for malaria parasites. In this study, the resultant malariological data are analysed for the first time and the CFA data re-analysed in order to identify risk factors, produce age-stratified prevalence maps for each infection, and to define the geographical patterns of Plasmodium sp. and W. bancrofti co-endemicity.
DOI: 10.1186/1475-2875-10-298
PubMed: 21989409
Links to Exploration step
pubmed:21989409Le document en format XML
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Onapa</name></author><author><name sortKey="Simonsen, Paul E" sort="Simonsen, Paul E" uniqKey="Simonsen P" first="Paul E" last="Simonsen">Paul E. Simonsen</name></author><author><name sortKey="Pedersen, Erling M" sort="Pedersen, Erling M" uniqKey="Pedersen E" first="Erling M" last="Pedersen">Erling M. Pedersen</name></author><author><name sortKey="Rahbek, Carsten" sort="Rahbek, Carsten" uniqKey="Rahbek C" first="Carsten" last="Rahbek">Carsten Rahbek</name></author><author><name sortKey="Kristensen, Thomas K" sort="Kristensen, Thomas K" uniqKey="Kristensen T" first="Thomas K" last="Kristensen">Thomas K. Kristensen</name></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2011">2011</date><idno type="RBID">pubmed:21989409</idno><idno type="pmid">21989409</idno><idno type="doi">10.1186/1475-2875-10-298</idno><idno type="wicri:Area/PubMed/Corpus">002430</idno><idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Corpus" wicri:corpus="PubMed">002430</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Bayesian geostatistical modelling of malaria and lymphatic filariasis infections in Uganda: predictors of risk and geographical patterns of co-endemicity.</title><author><name sortKey="Stensgaard, Anna Sofie" sort="Stensgaard, Anna Sofie" uniqKey="Stensgaard A" first="Anna-Sofie" last="Stensgaard">Anna-Sofie Stensgaard</name><affiliation><nlm:affiliation>Center for Macroecology, Evolution and Climate, Department of Biology, University of Copenhagen, Universitetsparken 15, DK-2100 Copenhagen, Denmark. asstensgaard@bio.ku.dk</nlm:affiliation></affiliation></author><author><name sortKey="Vounatsou, Penelope" sort="Vounatsou, Penelope" uniqKey="Vounatsou P" first="Penelope" last="Vounatsou">Penelope Vounatsou</name></author><author><name sortKey="Onapa, Ambrose W" sort="Onapa, Ambrose W" uniqKey="Onapa A" first="Ambrose W" last="Onapa">Ambrose W. Onapa</name></author><author><name sortKey="Simonsen, Paul E" sort="Simonsen, Paul E" uniqKey="Simonsen P" first="Paul E" last="Simonsen">Paul E. Simonsen</name></author><author><name sortKey="Pedersen, Erling M" sort="Pedersen, Erling M" uniqKey="Pedersen E" first="Erling M" last="Pedersen">Erling M. Pedersen</name></author><author><name sortKey="Rahbek, Carsten" sort="Rahbek, Carsten" uniqKey="Rahbek C" first="Carsten" last="Rahbek">Carsten Rahbek</name></author><author><name sortKey="Kristensen, Thomas K" sort="Kristensen, Thomas K" uniqKey="Kristensen T" first="Thomas K" last="Kristensen">Thomas K. Kristensen</name></author></analytic><series><title level="j">Malaria journal</title><idno type="eISSN">1475-2875</idno><imprint><date when="2011" type="published">2011</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Adolescent</term><term>Animals</term><term>Antigens, Protozoan (blood)</term><term>Blood (parasitology)</term><term>Child</term><term>Child, Preschool</term><term>Elephantiasis, Filarial (epidemiology)</term><term>Endemic Diseases</term><term>Female</term><term>Geography</term><term>Humans</term><term>Malaria (epidemiology)</term><term>Male</term><term>Models, Statistical</term><term>Parasitemia (epidemiology)</term><term>Plasmodium (isolation & purification)</term><term>Risk Assessment</term><term>Uganda (epidemiology)</term><term>Wuchereria bancrofti (isolation & purification)</term><term>Young Adult</term></keywords><keywords scheme="MESH" type="chemical" qualifier="blood" xml:lang="en"><term>Antigens, Protozoan</term></keywords><keywords scheme="MESH" type="geographic" qualifier="epidemiology" xml:lang="en"><term>Uganda</term></keywords><keywords scheme="MESH" qualifier="epidemiology" xml:lang="en"><term>Elephantiasis, Filarial</term><term>Malaria</term><term>Parasitemia</term></keywords><keywords scheme="MESH" qualifier="isolation & purification" xml:lang="en"><term>Plasmodium</term><term>Wuchereria bancrofti</term></keywords><keywords scheme="MESH" qualifier="parasitology" xml:lang="en"><term>Blood</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Adolescent</term><term>Animals</term><term>Child</term><term>Child, Preschool</term><term>Endemic Diseases</term><term>Female</term><term>Geography</term><term>Humans</term><term>Male</term><term>Models, Statistical</term><term>Risk Assessment</term><term>Young Adult</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">In Uganda, malaria and lymphatic filariasis (causative agent Wuchereria bancrofti) are transmitted by the same vector species of Anopheles mosquitoes, and thus are likely to share common environmental risk factors and overlap in geographical space. In a comprehensive nationwide survey in 2000-2003 the geographical distribution of W. bancrofti was assessed by screening school-aged children for circulating filarial antigens (CFA). Concurrently, blood smears were examined for malaria parasites. In this study, the resultant malariological data are analysed for the first time and the CFA data re-analysed in order to identify risk factors, produce age-stratified prevalence maps for each infection, and to define the geographical patterns of Plasmodium sp. and W. bancrofti co-endemicity.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">21989409</PMID><DateCreated><Year>2011</Year><Month>11</Month><Day>17</Day></DateCreated><DateCompleted><Year>2012</Year><Month>02</Month><Day>08</Day></DateCompleted><DateRevised><Year>2017</Year><Month>02</Month><Day>20</Day></DateRevised><Article PubModel="Electronic"><Journal><ISSN IssnType="Electronic">1475-2875</ISSN><JournalIssue CitedMedium="Internet"><Volume>10</Volume><PubDate><Year>2011</Year><Month>Oct</Month><Day>11</Day></PubDate></JournalIssue><Title>Malaria journal</Title><ISOAbbreviation>Malar. J.</ISOAbbreviation></Journal><ArticleTitle>Bayesian geostatistical modelling of malaria and lymphatic filariasis infections in Uganda: predictors of risk and geographical patterns of co-endemicity.</ArticleTitle><Pagination><MedlinePgn>298</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1186/1475-2875-10-298</ELocationID><Abstract><AbstractText Label="BACKGROUND" NlmCategory="BACKGROUND">In Uganda, malaria and lymphatic filariasis (causative agent Wuchereria bancrofti) are transmitted by the same vector species of Anopheles mosquitoes, and thus are likely to share common environmental risk factors and overlap in geographical space. In a comprehensive nationwide survey in 2000-2003 the geographical distribution of W. bancrofti was assessed by screening school-aged children for circulating filarial antigens (CFA). Concurrently, blood smears were examined for malaria parasites. In this study, the resultant malariological data are analysed for the first time and the CFA data re-analysed in order to identify risk factors, produce age-stratified prevalence maps for each infection, and to define the geographical patterns of Plasmodium sp. and W. bancrofti co-endemicity.</AbstractText><AbstractText Label="METHODS" NlmCategory="METHODS">Logistic regression models were fitted separately for Plasmodium sp. and W. bancrofti within a Bayesian framework. Models contained covariates representing individual-level demographic effects, school-level environmental effects and location-based random effects. Several models were fitted assuming different random effects to allow for spatial structuring and to capture potential non-linearity in the malaria- and filariasis-environment relation. Model-based risk predictions at unobserved locations were obtained via Bayesian predictive distributions for the best fitting models. Maps of predicted hyper-endemic malaria and filariasis were furthermore overlaid in order to define areas of co-endemicity.</AbstractText><AbstractText Label="RESULTS" NlmCategory="RESULTS">Plasmodium sp. parasitaemia was found to be highly endemic in most of Uganda, with an overall population adjusted parasitaemia risk of 47.2% in the highest risk age-sex group (boys 5-9 years). High W. bancrofti prevalence was predicted for a much more confined area in northern Uganda, with an overall population adjusted infection risk of 7.2% in the highest risk age-group (14-19 year olds). Observed overall prevalence of individual co-infection was 1.1%, and the two infections overlap geographically with an estimated number of 212,975 children aged 5 - 9 years living in hyper-co-endemic transmission areas.</AbstractText><AbstractText Label="CONCLUSIONS" NlmCategory="CONCLUSIONS">The empirical map of malaria parasitaemia risk for Uganda presented in this paper is the first based on coherent, national survey data, and can serve as a baseline to guide and evaluate the continuous implementation of control activities. Furthermore, geographical areas of overlap with hyper-endemic W. bancrofti transmission have been identified to help provide a better informed platform for integrated control.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Stensgaard</LastName><ForeName>Anna-Sofie</ForeName><Initials>AS</Initials><AffiliationInfo><Affiliation>Center for Macroecology, Evolution and Climate, Department of Biology, University of Copenhagen, Universitetsparken 15, DK-2100 Copenhagen, Denmark. asstensgaard@bio.ku.dk</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Vounatsou</LastName><ForeName>Penelope</ForeName><Initials>P</Initials></Author><Author ValidYN="Y"><LastName>Onapa</LastName><ForeName>Ambrose W</ForeName><Initials>AW</Initials></Author><Author ValidYN="Y"><LastName>Simonsen</LastName><ForeName>Paul E</ForeName><Initials>PE</Initials></Author><Author ValidYN="Y"><LastName>Pedersen</LastName><ForeName>Erling M</ForeName><Initials>EM</Initials></Author><Author ValidYN="Y"><LastName>Rahbek</LastName><ForeName>Carsten</ForeName><Initials>C</Initials></Author><Author ValidYN="Y"><LastName>Kristensen</LastName><ForeName>Thomas K</ForeName><Initials>TK</Initials></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2011</Year><Month>10</Month><Day>11</Day></ArticleDate></Article><MedlineJournalInfo><Country>England</Country><MedlineTA>Malar J</MedlineTA><NlmUniqueID>101139802</NlmUniqueID><ISSNLinking>1475-2875</ISSNLinking></MedlineJournalInfo><ChemicalList><Chemical><RegistryNumber>0</RegistryNumber><NameOfSubstance UI="D000953">Antigens, Protozoan</NameOfSubstance></Chemical></ChemicalList><CitationSubset>IM</CitationSubset><CommentsCorrectionsList><CommentsCorrections 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UI="D006801" MajorTopicYN="N">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008288" MajorTopicYN="N">Malaria</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="Y">epidemiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D008297" MajorTopicYN="N">Male</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D015233" MajorTopicYN="N">Models, Statistical</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D018512" MajorTopicYN="N">Parasitemia</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D010961" MajorTopicYN="N">Plasmodium</DescriptorName><QualifierName UI="Q000302" MajorTopicYN="N">isolation & purification</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D018570" MajorTopicYN="N">Risk Assessment</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D014454" MajorTopicYN="N" Type="Geographic">Uganda</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D014958" MajorTopicYN="N">Wuchereria bancrofti</DescriptorName><QualifierName UI="Q000302" MajorTopicYN="N">isolation & purification</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D055815" MajorTopicYN="N">Young Adult</DescriptorName></MeshHeading></MeshHeadingList><OtherID Source="NLM">PMC3216645</OtherID></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2011</Year><Month>07</Month><Day>19</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2011</Year><Month>10</Month><Day>11</Day></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2011</Year><Month>10</Month><Day>13</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2011</Year><Month>10</Month><Day>13</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate 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