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Impact of mass drug administration for elimination of lymphatic filariasis in Nepal

Identifieur interne : 004313 ( Pmc/Corpus ); précédent : 004312; suivant : 004314

Impact of mass drug administration for elimination of lymphatic filariasis in Nepal

Auteurs : Chet Raj Ojha ; Basant Joshi ; Khagendra Prakash Kc ; Shyam Prakash Dumre ; Keshav Kumar Yogi ; Bandana Bhatta ; Tulasi Adhikari ; Kathryn Crowley ; Babu Ram Marasini

Source :

RBID : PMC:5536438

Abstract

Background

Lymphatic filariasis (LF) is a neglected tropical disease transmitted by mosquitoes. Nepal has implemented a national effort to eliminate LF by 2020 through mass drug administration (MDA) using diethylcarbamazine (DEC) and albendazole (ALB). We assessed the impact of MDAs on LF in selected districts of Nepal after the recommended six MDA rounds had been completed.

Methodology and principal findings

Baseline surveys were conducted in seven districts and mapping data were used as baseline in the other three districts before starting MDA in 2009. LF antigen (Ag) prevalence ranged from 1.06% to 20% among districts included in the baseline and mapping study. The number of people who received DEC and ALB were recorded during each MDA round and population-based cluster surveys were conducted at least once in each district during the life of the program. The reported MDA coverage in five districts was consistently at least 65%. Two districts achieved the targeted coverage in four out of five rounds and the rest three districts achieved the target only in the first round. A pre-transmission assessment survey (pre-TAS) was conducted in one sentinel site and at least one spot check site in each of the districts after five MDA rounds. In pre-TAS, all the sites of five districts (Pyuthan, Arghakhanchi, Kaski, Bhaktapur, and Kathmandu) and all but one spot check site of Lalitpur district had LF Ag < 2% (ranging from 0.0% to 1.99%). Transmission assessment survey (TAS) was conducted in six evaluation units (EUs) consisting of six districts qualified on pre-TAS. Though MDA coverage of 65% was not achieved in three districts (Kathmandu, Lalitpur and Bhaktapur), Nepal government in consultation with World Health Organization (WHO) decided to conduct TAS. All six EUs achieved the LF Ag threshold required to stop MDA in TAS, despite the low reported MDA coverage in those three districts.

Conclusions

Although Nepal has achieved significant progress towards LF elimination, five rounds of MDA were not sufficient to disrupt the transmission cycle in all districts, probably because of high baseline prevalence.


Url:
DOI: 10.1371/journal.pntd.0005788
PubMed: 28723904
PubMed Central: 5536438

Links to Exploration step

PMC:5536438

Le document en format XML

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<p>Lymphatic filariasis (LF) is a neglected tropical disease transmitted by mosquitoes. Nepal has implemented a national effort to eliminate LF by 2020 through mass drug administration (MDA) using diethylcarbamazine (DEC) and albendazole (ALB). We assessed the impact of MDAs on LF in selected districts of Nepal after the recommended six MDA rounds had been completed.</p>
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<p>Baseline surveys were conducted in seven districts and mapping data were used as baseline in the other three districts before starting MDA in 2009. LF antigen (Ag) prevalence ranged from 1.06% to 20% among districts included in the baseline and mapping study. The number of people who received DEC and ALB were recorded during each MDA round and population-based cluster surveys were conducted at least once in each district during the life of the program. The reported MDA coverage in five districts was consistently at least 65%. Two districts achieved the targeted coverage in four out of five rounds and the rest three districts achieved the target only in the first round. A pre-transmission assessment survey (pre-TAS) was conducted in one sentinel site and at least one spot check site in each of the districts after five MDA rounds. In pre-TAS, all the sites of five districts (Pyuthan, Arghakhanchi, Kaski, Bhaktapur, and Kathmandu) and all but one spot check site of Lalitpur district had LF Ag < 2% (ranging from 0.0% to 1.99%). Transmission assessment survey (TAS) was conducted in six evaluation units (EUs) consisting of six districts qualified on pre-TAS. Though MDA coverage of 65% was not achieved in three districts (Kathmandu, Lalitpur and Bhaktapur), Nepal government in consultation with World Health Organization (WHO) decided to conduct TAS. All six EUs achieved the LF Ag threshold required to stop MDA in TAS, despite the low reported MDA coverage in those three districts.</p>
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<p>Although Nepal has achieved significant progress towards LF elimination, five rounds of MDA were not sufficient to disrupt the transmission cycle in all districts, probably because of high baseline prevalence.</p>
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<name sortKey="Mallayya Koradhanyamath, D" uniqKey="Mallayya Koradhanyamath D">D Mallayya Koradhanyamath</name>
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<journal-id journal-id-type="nlm-ta">PLoS Negl Trop Dis</journal-id>
<journal-id journal-id-type="iso-abbrev">PLoS Negl Trop Dis</journal-id>
<journal-id journal-id-type="publisher-id">plos</journal-id>
<journal-id journal-id-type="pmc">plosntds</journal-id>
<journal-title-group>
<journal-title>PLoS Neglected Tropical Diseases</journal-title>
</journal-title-group>
<issn pub-type="ppub">1935-2727</issn>
<issn pub-type="epub">1935-2735</issn>
<publisher>
<publisher-name>Public Library of Science</publisher-name>
<publisher-loc>San Francisco, CA USA</publisher-loc>
</publisher>
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<article-id pub-id-type="pmid">28723904</article-id>
<article-id pub-id-type="pmc">5536438</article-id>
<article-id pub-id-type="doi">10.1371/journal.pntd.0005788</article-id>
<article-id pub-id-type="publisher-id">PNTD-D-16-01403</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Research Article</subject>
</subj-group>
<subj-group subj-group-type="Discipline-v3">
<subject>People and Places</subject>
<subj-group>
<subject>Geographical Locations</subject>
<subj-group>
<subject>Asia</subject>
<subj-group>
<subject>Nepal</subject>
</subj-group>
</subj-group>
</subj-group>
</subj-group>
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<subject>Social Sciences</subject>
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<subject>Sociology</subject>
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<subj-group>
<subject>Parasitic Diseases</subject>
<subj-group>
<subject>Helminth Infections</subject>
<subj-group>
<subject>Filariasis</subject>
<subj-group>
<subject>Lymphatic Filariasis</subject>
</subj-group>
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<subj-group>
<subject>Tropical Diseases</subject>
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<subject>Neglected Tropical Diseases</subject>
<subj-group>
<subject>Lymphatic Filariasis</subject>
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</subj-group>
</subj-group>
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<subject>Medicine and Health Sciences</subject>
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<subject>Infectious Diseases</subject>
<subj-group>
<subject>Disease Vectors</subject>
<subj-group>
<subject>Insect Vectors</subject>
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<subj-group>
<subject>Species Interactions</subject>
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<subject>Disease Vectors</subject>
<subj-group>
<subject>Insect Vectors</subject>
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<subject>Biology and Life Sciences</subject>
<subj-group>
<subject>Organisms</subject>
<subj-group>
<subject>Animals</subject>
<subj-group>
<subject>Invertebrates</subject>
<subj-group>
<subject>Arthropoda</subject>
<subj-group>
<subject>Insects</subject>
<subj-group>
<subject>Mosquitoes</subject>
</subj-group>
</subj-group>
</subj-group>
</subj-group>
</subj-group>
</subj-group>
</subj-group>
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<subject>Biology and Life Sciences</subject>
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<subj-group>
<subject>Body Fluids</subject>
<subj-group>
<subject>Blood</subject>
</subj-group>
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</subj-group>
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<subject>Medicine and Health Sciences</subject>
<subj-group>
<subject>Anatomy</subject>
<subj-group>
<subject>Body Fluids</subject>
<subj-group>
<subject>Blood</subject>
</subj-group>
</subj-group>
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<subject>Blood</subject>
</subj-group>
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</subj-group>
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<subject>Medicine and Health Sciences</subject>
<subj-group>
<subject>Pharmaceutics</subject>
<subj-group>
<subject>Drug Therapy</subject>
<subj-group>
<subject>Drug Administration</subject>
</subj-group>
</subj-group>
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</subj-group>
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<subject>Biology and Life Sciences</subject>
<subj-group>
<subject>Organisms</subject>
<subj-group>
<subject>Animals</subject>
<subj-group>
<subject>Invertebrates</subject>
<subj-group>
<subject>Nematoda</subject>
<subj-group>
<subject>Filarial Worms</subject>
</subj-group>
</subj-group>
</subj-group>
</subj-group>
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<article-title>Impact of mass drug administration for elimination of lymphatic filariasis in Nepal</article-title>
<alt-title alt-title-type="running-head">Impact of MDA in Nepal</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<contrib-id authenticated="true" contrib-id-type="orcid">http://orcid.org/0000-0002-6816-8892</contrib-id>
<name>
<surname>Ojha</surname>
<given-names>Chet Raj</given-names>
</name>
<role content-type="http://credit.casrai.org/">Conceptualization</role>
<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/">Funding acquisition</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/">Project administration</role>
<role content-type="http://credit.casrai.org/">Resources</role>
<role content-type="http://credit.casrai.org/">Software</role>
<role content-type="http://credit.casrai.org/">Validation</role>
<role content-type="http://credit.casrai.org/">Writing – original draft</role>
<role content-type="http://credit.casrai.org/">Writing – review & editing</role>
<xref ref-type="aff" rid="aff001">
<sup>1</sup>
</xref>
<xref ref-type="corresp" rid="cor001">*</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Joshi</surname>
<given-names>Basant</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/">Methodology</role>
<role content-type="http://credit.casrai.org/">Resources</role>
<role content-type="http://credit.casrai.org/">Validation</role>
<role content-type="http://credit.casrai.org/">Writing – review & editing</role>
<xref ref-type="aff" rid="aff002">
<sup>2</sup>
</xref>
<xref ref-type="author-notes" rid="currentaff001">
<sup>¤</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>KC</surname>
<given-names>Khagendra Prakash</given-names>
</name>
<role content-type="http://credit.casrai.org/">Conceptualization</role>
<role content-type="http://credit.casrai.org/">Formal analysis</role>
<role content-type="http://credit.casrai.org/">Software</role>
<role content-type="http://credit.casrai.org/">Validation</role>
<xref ref-type="aff" rid="aff002">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Dumre</surname>
<given-names>Shyam Prakash</given-names>
</name>
<role content-type="http://credit.casrai.org/">Formal analysis</role>
<role content-type="http://credit.casrai.org/">Software</role>
<role content-type="http://credit.casrai.org/">Supervision</role>
<role content-type="http://credit.casrai.org/">Validation</role>
<role content-type="http://credit.casrai.org/">Visualization</role>
<role content-type="http://credit.casrai.org/">Writing – review & editing</role>
<xref ref-type="aff" rid="aff003">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Yogi</surname>
<given-names>Keshav Kumar</given-names>
</name>
<role content-type="http://credit.casrai.org/">Methodology</role>
<role content-type="http://credit.casrai.org/">Software</role>
<role content-type="http://credit.casrai.org/">Supervision</role>
<xref ref-type="aff" rid="aff004">
<sup>4</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Bhatta</surname>
<given-names>Bandana</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/">Software</role>
<role content-type="http://credit.casrai.org/">Writing – review & editing</role>
<xref ref-type="aff" rid="aff005">
<sup>5</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Adhikari</surname>
<given-names>Tulasi</given-names>
</name>
<role content-type="http://credit.casrai.org/">Resources</role>
<xref ref-type="aff" rid="aff006">
<sup>6</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Crowley</surname>
<given-names>Kathryn</given-names>
</name>
<role content-type="http://credit.casrai.org/">Formal analysis</role>
<role content-type="http://credit.casrai.org/">Writing – review & editing</role>
<xref ref-type="aff" rid="aff007">
<sup>7</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Marasini</surname>
<given-names>Babu Ram</given-names>
</name>
<role content-type="http://credit.casrai.org/">Conceptualization</role>
<role content-type="http://credit.casrai.org/">Resources</role>
<role content-type="http://credit.casrai.org/">Supervision</role>
<role content-type="http://credit.casrai.org/">Validation</role>
<role content-type="http://credit.casrai.org/">Visualization</role>
<xref ref-type="aff" rid="aff006">
<sup>6</sup>
</xref>
</contrib>
</contrib-group>
<aff id="aff001">
<label>1</label>
<addr-line>Department of Immunology, Herbert Wertheim College of Medicine, Florida International University, Miami, Florida, United States of America</addr-line>
</aff>
<aff id="aff002">
<label>2</label>
<addr-line>Leadership for Environment and Development Nepal, Kathmandu, Nepal</addr-line>
</aff>
<aff id="aff003">
<label>3</label>
<addr-line>Department of Immunogenetics, Institute of Tropical Medicine, Nagasaki University, Nagasaki, Japan</addr-line>
</aff>
<aff id="aff004">
<label>4</label>
<addr-line>World Health Organization, Lalitpur, Nepal</addr-line>
</aff>
<aff id="aff005">
<label>5</label>
<addr-line>Save the Children International, Kathmandu, Nepal</addr-line>
</aff>
<aff id="aff006">
<label>6</label>
<addr-line>Epidemiology and Disease Control Division, Ministry of Health and Population, Government of Nepal, Kathmandu, Nepal</addr-line>
</aff>
<aff id="aff007">
<label>7</label>
<addr-line>RTI International, Washington, District of Columbia, United States of America</addr-line>
</aff>
<contrib-group>
<contrib contrib-type="editor">
<name>
<surname>Reithinger</surname>
<given-names>Richard</given-names>
</name>
<role>Editor</role>
<xref ref-type="aff" rid="edit1"></xref>
</contrib>
</contrib-group>
<aff id="edit1">
<addr-line>RTI International, UNITED STATES</addr-line>
</aff>
<author-notes>
<fn fn-type="COI-statement" id="coi001">
<p>The authors have declared that no competing interests exist.</p>
</fn>
<fn fn-type="current-aff" id="currentaff001">
<label>¤</label>
<p>Current address: Faculty of Medicine, Universitas Gadjah Mada, Yogyakarta, Indonesia</p>
</fn>
<corresp id="cor001">* E-mail:
<email>cojha001@fiu.edu</email>
</corresp>
</author-notes>
<pub-date pub-type="epub">
<day>19</day>
<month>7</month>
<year>2017</year>
</pub-date>
<pub-date pub-type="collection">
<month>7</month>
<year>2017</year>
</pub-date>
<volume>11</volume>
<issue>7</issue>
<elocation-id>e0005788</elocation-id>
<history>
<date date-type="received">
<day>2</day>
<month>8</month>
<year>2016</year>
</date>
<date date-type="accepted">
<day>6</day>
<month>7</month>
<year>2017</year>
</date>
</history>
<permissions>
<copyright-statement>© 2017 Ojha et al</copyright-statement>
<copyright-year>2017</copyright-year>
<copyright-holder>Ojha et al</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<license-p>This is an open access article distributed under the terms of the
<ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License</ext-link>
, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.</license-p>
</license>
</permissions>
<self-uri content-type="pdf" xlink:href="pntd.0005788.pdf"></self-uri>
<abstract>
<sec id="sec001">
<title>Background</title>
<p>Lymphatic filariasis (LF) is a neglected tropical disease transmitted by mosquitoes. Nepal has implemented a national effort to eliminate LF by 2020 through mass drug administration (MDA) using diethylcarbamazine (DEC) and albendazole (ALB). We assessed the impact of MDAs on LF in selected districts of Nepal after the recommended six MDA rounds had been completed.</p>
</sec>
<sec id="sec002">
<title>Methodology and principal findings</title>
<p>Baseline surveys were conducted in seven districts and mapping data were used as baseline in the other three districts before starting MDA in 2009. LF antigen (Ag) prevalence ranged from 1.06% to 20% among districts included in the baseline and mapping study. The number of people who received DEC and ALB were recorded during each MDA round and population-based cluster surveys were conducted at least once in each district during the life of the program. The reported MDA coverage in five districts was consistently at least 65%. Two districts achieved the targeted coverage in four out of five rounds and the rest three districts achieved the target only in the first round. A pre-transmission assessment survey (pre-TAS) was conducted in one sentinel site and at least one spot check site in each of the districts after five MDA rounds. In pre-TAS, all the sites of five districts (Pyuthan, Arghakhanchi, Kaski, Bhaktapur, and Kathmandu) and all but one spot check site of Lalitpur district had LF Ag < 2% (ranging from 0.0% to 1.99%). Transmission assessment survey (TAS) was conducted in six evaluation units (EUs) consisting of six districts qualified on pre-TAS. Though MDA coverage of 65% was not achieved in three districts (Kathmandu, Lalitpur and Bhaktapur), Nepal government in consultation with World Health Organization (WHO) decided to conduct TAS. All six EUs achieved the LF Ag threshold required to stop MDA in TAS, despite the low reported MDA coverage in those three districts.</p>
</sec>
<sec id="sec003">
<title>Conclusions</title>
<p>Although Nepal has achieved significant progress towards LF elimination, five rounds of MDA were not sufficient to disrupt the transmission cycle in all districts, probably because of high baseline prevalence.</p>
</sec>
</abstract>
<abstract abstract-type="summary">
<title>Author summary</title>
<p>Lymphatic filariasis (LF) is a deforming and disabling infectious disease manifested in the form of elephantiasis and hydroceles. Based on mapping data, 61 out of 75 districts of Nepal were found to be endemic for LF and mass drug administration (MDA) of diethylcarbamazine and albendazole has been already started in 56 districts. The objective of MDA is to interrupt transmission of
<italic>Wuchereria bancrofti</italic>
in LF endemic districts. In 2015, ten districts had completed six MDA rounds. In this study we reported the impact of the national LF elimination effort in these ten districts of Nepal. The reported coverage rate in each MDA round was consistently above 65% in five districts. Compared to the baseline surveys, pre-transmission assessment surveys (pre-TAS) conducted after completion of five MDA rounds showed reductions in LF antigenemia (Ag) in most districts. Six out of ten districts (formed into six evaluation units) were eligible for TAS, which showed LF Ag below the cutoff point in all six EUs, suggesting successful interruption of LF transmission in six out of ten districts after six MDA rounds.</p>
</abstract>
<funding-group>
<award-group id="award001">
<funding-source>
<institution>RTI International Nepal</institution>
</funding-source>
<principal-award-recipient>
<contrib-id authenticated="true" contrib-id-type="orcid">http://orcid.org/0000-0002-6816-8892</contrib-id>
<name>
<surname>Ojha</surname>
<given-names>Chet Raj</given-names>
</name>
</principal-award-recipient>
</award-group>
<funding-statement>The research leading to these results received funding from RTI International (Nepal). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.</funding-statement>
</funding-group>
<counts>
<fig-count count="1"></fig-count>
<table-count count="4"></table-count>
<page-count count="12"></page-count>
</counts>
<custom-meta-group>
<custom-meta>
<meta-name>PLOS Publication Stage</meta-name>
<meta-value>vor-update-to-uncorrected-proof</meta-value>
</custom-meta>
<custom-meta>
<meta-name>Publication Update</meta-name>
<meta-value>2017-07-31</meta-value>
</custom-meta>
<custom-meta id="data-availability">
<meta-name>Data Availability</meta-name>
<meta-value>All relevant data are within the paper.</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
<notes>
<title>Data Availability</title>
<p>All relevant data are within the paper.</p>
</notes>
</front>
<body>
<sec sec-type="intro" id="sec004">
<title>Introduction</title>
<p>Lymphatic filariasis (LF) is a vector-borne neglected tropical disease of human caused by
<italic>Brugia malayi</italic>
,
<italic>Brugia timori</italic>
and
<italic>Wuchereria bancrofti</italic>
, and transmitted by
<italic>Culex</italic>
,
<italic>Anopheles</italic>
and
<italic>Aedes</italic>
spp. mosquitoes [
<xref rid="pntd.0005788.ref001" ref-type="bibr">1</xref>
]. Infection with filarial worms can cause significant morbidity (primarily lymphedema of legs, arms and breast, and hydrocele) and disability, impeding socioeconomic development in many endemic countries [
<xref rid="pntd.0005788.ref002" ref-type="bibr">2</xref>
,
<xref rid="pntd.0005788.ref003" ref-type="bibr">3</xref>
]. Globally, 120 million people are estimated to be affected by LF and 40 million suffer from chronic disability and covert lymphatic changes caused by LF [
<xref rid="pntd.0005788.ref004" ref-type="bibr">4</xref>
]. The Global Programme to Eliminate Lymphatic Filariasis (GPELF) was established by the World Health Organization (WHO) in 2000 with the aim to eliminate LF by 2020. To achieve GPELF targets, endemic countries conduct annual mass drug administration (MDA) of the population at risk of LF using diethylcarbamazine (DEC) and albendazole (ALB) to interrupt the transmission of filarial worms, along with the management of the disease’s chronic manifestations [
<xref rid="pntd.0005788.ref005" ref-type="bibr">5</xref>
,
<xref rid="pntd.0005788.ref006" ref-type="bibr">6</xref>
]. Although, ivermectin has shown to be more effective in killing filarial worms, Nepal uses DEC because it is more readily available and has less adverse effects than ivermectin [
<xref rid="pntd.0005788.ref007" ref-type="bibr">7</xref>
,
<xref rid="pntd.0005788.ref008" ref-type="bibr">8</xref>
].</p>
<p>In Nepal,
<italic>W</italic>
.
<italic>bancrofti</italic>
is the filarial worm that causes LF and
<italic>Culex quinquefasciatus</italic>
is the main vector [
<xref rid="pntd.0005788.ref009" ref-type="bibr">9</xref>
]. Of Nepal’s 75 districts, 61 are considered LF endemic, corresponding to an estimated 25 million people at risk of infection and disease. Nine districts have historical evidence of chronic cases of LF. Fifty-two we classified as endemic following mapping of 54 districts between 2001 and 2005 using immunochromatographic tests (ICTs) to test for antigenemia (Ag) and using night blood films to test for microfilaremia (mf). Twelve districts are not suspected to be LF endemic and were not mapped. Mapping surveys indicated that prevalence in endemic districts’ surveyed villages ranged from <1% to 39% [
<xref rid="pntd.0005788.ref010" ref-type="bibr">10</xref>
,
<xref rid="pntd.0005788.ref011" ref-type="bibr">11</xref>
].</p>
<p>In 2013, the Government of Nepal developed a Plan of Action to eliminate LF by 2020 via implementation of six MDA rounds in all endemic districts until 2018 [
<xref rid="pntd.0005788.ref012" ref-type="bibr">12</xref>
]. Nepal started LF MDAs in Parsa district in 2003 and achieved 100% geographical coverage of all districts in 2013. By 2016, 16 out of the 61 endemic districts had conducted six MDA rounds [
<xref rid="pntd.0005788.ref013" ref-type="bibr">13</xref>
]. Effectiveness of MDAs at reaching the target population, as measured by epidemiological coverage, ranged from 22% to 89%, with differences noted both among districts and years. Reasons for low MDA coverage included fear of side-effects, lack of advice from health workers, and fear of weakness [
<xref rid="pntd.0005788.ref012" ref-type="bibr">12</xref>
].</p>
<p>In addition to reporting drug coverage information following each round of MDA, WHO-recommended population based cluster surveys are conducted to verify reported MDA coverage data. To date, the program has conducted at least one coverage survey in each of the endemic districts that have had an MDA. WHO LF elimination guidance recommends that after 5–6 MDA rounds impact of MDAs on district Ag prevalence is assessed using a pre-transmission assessment survey (pre-TAS) in sentinel and spot-check sites. Furthermore, districts in which sentinel and spot check sites passed a cut-off LF Ag <2% and exceeded 65% coverage in all MDA rounds are considered to meet criteria for conducting a transmission assessment survey (TAS) to evaluate that LF transmission has been interrupted [
<xref rid="pntd.0005788.ref004" ref-type="bibr">4</xref>
,
<xref rid="pntd.0005788.ref012" ref-type="bibr">12</xref>
,
<xref rid="pntd.0005788.ref014" ref-type="bibr">14</xref>
]. TAS is carried out in school children within an eligible district’s evaluation unit (EU) in order to determine interruption of LF transmission [
<xref rid="pntd.0005788.ref014" ref-type="bibr">14</xref>
]. The objective of the study reported here was to assess the effectiveness and impact of MDAs in ten representative districts of Nepal in line with the country’s ongoing efforts to eliminate LF.</p>
</sec>
<sec sec-type="materials|methods" id="sec005">
<title>Methodology</title>
<sec id="sec006">
<title>Ethical statement</title>
<p>Ethical approval for the study was obtained from the Nepal Health Research Council. A written consent was taken from all survey participants before subjecting to diagnostic testing. In case of minors, parental consent was obtained. People with positive ICT and Filariasis Test Strip (FTS) results were referred to the government health facility (Health Post, Primary Health Center) for appropriate management as per national LF guidelines.</p>
</sec>
<sec id="sec007">
<title>Baseline survey</title>
<p>Between 2005 and 2008, the Government of Nepal conducted baseline surveys in seven of ten purposively selected districts (Lalitpur, Parbat, Myagdi, Baglung, Arghakhanchi, Pyuthan, and Lamjung), before starting MDAs. For each district, two sentinel sites, each with populations between 300 and 500 people, were selected; population size, migration rate and estimated LF prevalence were factors considered when selecting sentinel sites. In three districts, Bhaktapur, Kathmandu, and Kaski, no baseline surveys were conducted; instead the National LF Program used mapping data, collected in 2001 from one site per district, to determine that each district met the MDA eligibility criteria.</p>
</sec>
<sec id="sec008">
<title>MDA coverage data</title>
<p>During each MDA round drug distributors recorded the number of people who received DEC and ALB, and this data was communicated through the National LF Program’s reporting system. Recorded data were then reported to the Ministry of Health and Population (MOHP) and to WHO’s Preventive Chemotherapy (PCT) databank. The GPELF recommends that national programs should try to attain an epidemiological drug coverage of 65% when conducting MDAs for LF [
<xref rid="pntd.0005788.ref014" ref-type="bibr">14</xref>
]. In order to verify reported drug coverage rates and determine reasons for non-compliance, the National LF Program conducted population-based cluster surveys at least once in each district during the life time of MDAs. For each of these surveys, a two-stage sampling approach was used, with 30 clusters randomly sampled per district and 30 households randomly sampled per cluster. All household members available at the house during the visit were interviewed; in the case of household members <10 years of age, the information was collected from their primary caretaker.</p>
</sec>
<sec id="sec009">
<title>Pre-transmission assessment survey</title>
<p>A pre-TAS was conducted in each of the ten districts (
<xref ref-type="fig" rid="pntd.0005788.g001">Fig 1</xref>
) after completion of five MDA rounds. Within each district, one sentinel site (same site where baseline or mapping survey was conducted) and one spot check site was selected for the study. Owing to the high population density and low (<65%) coverage of MDA in Kathmandu, Lalitpur, and Bhaktapur, additional spot check sites were purposively selected to assess LF transmission in those urban populations; sentinel site selection criteria were the same as for the baseline surveys. All people of more than 5 years of age from selected sites were included in the study. Wherever the population was too large (more than 500), systematic random sampling was used to select a representative sample. A total of 9,000 people (300 from each site) were tested for LF Ag. In addition, qualitative and quantitative data were collected using a structured questionnaire to assess MDA compliance. Information collected included whether the person took DEC and ALB during the MDA, experience of side-effects of the drugs, and signs and symptoms of LF disease.</p>
<fig id="pntd.0005788.g001" orientation="portrait" position="float">
<object-id pub-id-type="doi">10.1371/journal.pntd.0005788.g001</object-id>
<label>Fig 1</label>
<caption>
<title>Map of Nepal showing the districts where the studies were conducted.</title>
<p>Baseline survey was conducted in seven districts indicated by blue square, Pre-Transmission Assessment Survey was conducted in 10 districts indicated by red color and Transmission Assessment Survey was conducted in six districts indicated by star symbol.</p>
</caption>
<graphic xlink:href="pntd.0005788.g001"></graphic>
</fig>
</sec>
<sec id="sec010">
<title>Transmission assessment survey</title>
<p>A TAS was conducted in six districts (Kathmandu, Lalitpur, Kaski, Pyuthan, Arghakhanchi and Bhaktapur) that had met TAS eligibility criteria (
<xref ref-type="fig" rid="pntd.0005788.g001">Fig 1</xref>
). District evaluation units (EUs) were determined based on WHO TAS guidance, taking into account population size, baseline and mapping prevalence, and other LF risk factors [
<xref rid="pntd.0005788.ref014" ref-type="bibr">14</xref>
]. The net primary school enrollment was >75% in all districts to be surveyed, so TAS were conducted in schools within each EU. The Ministry of Education provided lists of enrolled students in all schools—public, private, and religious—within the district. The sample size, critical cut-off value and school sampling frame in each EU were determined by systemic random sampling using the Survey Sampler Builder Software (SSB, NTD Support Center, Task Force for Global Health, Atlanta, GA). The SSB generated the required sample size for each EU, list of schools to be sampled within the EU with systemic intervals, and critical cut-off values. All children studying in grade one and/or two of selected schools were included for survey, with a goal of sampling children aged 6–7 years of age. If children were not in school on the day of the survey, they were not included in the TAS. From each EU, ≥1,540 school children were tested for LF Ag. The critical cut-off value for all EUs to pass TAS—as generated by the SSB—was 18 children testing positive for LF Ag.</p>
</sec>
<sec id="sec011">
<title>Circulating filarial antigen screening test</title>
<p>The Binax Now Filariasis ICT (Alere Inc., Scarborough, ME) was used to detect the filarial antigen circulating in the blood stream in the baseline and pre-TAS studies. Briefly, capillary blood was collected from survey participants by finger prick using special sterile lancets and lancet holders. A graduated capillary tube having a capacity to hold 100 μl of blood was used to take blood from participants and blood was dispensed onto the test card immediately. For TAS, the Alere Filariasis Test Strip (FTS, Alere Inc., Scarborough, ME) was used. In this case, 75 μl of finger pricked whole blood was collected from the survey participants and applied to the test strip by capillary tube. The test results were interpreted strictly following the manufacturer’s instructions. Positive control filarial antigen was used to confirm the quality of the ICT and FTS as per provided instructions.</p>
</sec>
<sec id="sec012">
<title>Statistical analysis</title>
<p>All the data, including test results, were entered into Microsoft Excel (Microsoft Corporation, Redmont, WA). Descriptive statistics were used to describe the basic features of the data in the study; the prevalence of LF Ag was determined by calculating the percentage of positive cases out of the total population examined for pre-TAS and TAS assessments.</p>
</sec>
</sec>
<sec sec-type="results" id="sec013">
<title>Results</title>
<sec id="sec014">
<title>LF program coverage</title>
<p>Among the ten districts included in the study, only five (Arghakhanchi, Pyuthan, Kaski, Baglung, and Myagdi) consistently achieved at least 65% epidemiological coverage (
<xref ref-type="table" rid="pntd.0005788.t001">Table 1</xref>
). Lamjung and Parbat each achieved the threshold in four MDA rounds, with only the MDA in 2012 falling short of the 65% coverage. The other three districts, Kathmandu, Lalitpur, and Bhaktapur, are three heavily urban and peri-urban districts that make up the Kathmandu Valley. While reported epidemiological coverage exceeded 65% in all three districts for their first year of MDA, reported coverage declined markedly in 2011 (Bhaktapur, 43.1%) and 2012 (Kathmandu, 48.2% and Lalitpur, 40.1%), staying <65% in subsequent MDA rounds.</p>
<table-wrap id="pntd.0005788.t001" orientation="portrait" position="float">
<object-id pub-id-type="doi">10.1371/journal.pntd.0005788.t001</object-id>
<label>Table 1</label>
<caption>
<title>Reported MDA coverage and surveyed coverage, 2010–2015.</title>
</caption>
<alternatives>
<graphic id="pntd.0005788.t001g" xlink:href="pntd.0005788.t001"></graphic>
<table frame="hsides" rules="groups">
<colgroup span="1">
<col align="left" valign="middle" span="1"></col>
<col align="left" valign="middle" span="1"></col>
<col align="left" valign="middle" span="1"></col>
<col align="left" valign="middle" span="1"></col>
<col align="left" valign="middle" span="1"></col>
<col align="left" valign="middle" span="1"></col>
<col align="left" valign="middle" span="1"></col>
<col align="left" valign="middle" span="1"></col>
<col align="left" valign="middle" span="1"></col>
<col align="left" valign="middle" span="1"></col>
</colgroup>
<thead>
<tr>
<th align="left" rowspan="2" style="background-color:#D9D9D9" colspan="1">District</th>
<th align="center" rowspan="2" style="background-color:#D9D9D9" colspan="1">Population</th>
<th align="center" colspan="6" style="background-color:#D9D9D9" rowspan="1">Reported MDA coverage (%)</th>
<th align="center" colspan="2" style="background-color:#D9D9D9" rowspan="1">Surveyed coverage (%)</th>
</tr>
<tr>
<th align="center" style="background-color:#D9D9D9" rowspan="1" colspan="1">2010</th>
<th align="center" style="background-color:#D9D9D9" rowspan="1" colspan="1">2011</th>
<th align="center" style="background-color:#D9D9D9" rowspan="1" colspan="1">2012</th>
<th align="center" style="background-color:#D9D9D9" rowspan="1" colspan="1">2013</th>
<th align="center" style="background-color:#D9D9D9" rowspan="1" colspan="1">2014</th>
<th align="center" style="background-color:#D9D9D9" rowspan="1" colspan="1">2015</th>
<th align="center" style="background-color:#D9D9D9" rowspan="1" colspan="1">Year (s)</th>
<th align="center" style="background-color:#D9D9D9" rowspan="1" colspan="1">Results</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" rowspan="1" colspan="1">Kathmandu</td>
<td align="right" rowspan="1" colspan="1">1,916,667</td>
<td align="char" char="." rowspan="1" colspan="1">74.0</td>
<td align="char" char="." rowspan="1" colspan="1">69.6</td>
<td align="char" char="." rowspan="1" colspan="1">
<italic>48</italic>
.
<italic>2</italic>
</td>
<td align="char" char="." rowspan="1" colspan="1">
<italic>44</italic>
.
<italic>0</italic>
</td>
<td align="char" char="." rowspan="1" colspan="1">
<italic>42</italic>
.
<italic>0</italic>
</td>
<td align="char" char="." rowspan="1" colspan="1">
<italic>45</italic>
.
<italic>7</italic>
</td>
<td align="center" rowspan="1" colspan="1">2013
<break></break>
2015</td>
<td align="center" rowspan="1" colspan="1">
<italic>36</italic>
.
<italic>6</italic>
<break></break>
<italic>41</italic>
.
<italic>8</italic>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Lalitpur</td>
<td align="right" rowspan="1" colspan="1">505,490</td>
<td align="char" char="." rowspan="1" colspan="1">68.3</td>
<td align="char" char="." rowspan="1" colspan="1">67.8</td>
<td align="char" char="." rowspan="1" colspan="1">
<italic>40</italic>
.
<italic>1</italic>
</td>
<td align="char" char="." rowspan="1" colspan="1">
<italic>45</italic>
.
<italic>2</italic>
</td>
<td align="char" char="." rowspan="1" colspan="1">
<italic>57</italic>
.
<italic>9</italic>
</td>
<td align="char" char="." rowspan="1" colspan="1">
<italic>58</italic>
.
<italic>1</italic>
</td>
<td align="center" rowspan="1" colspan="1">2014</td>
<td align="center" rowspan="1" colspan="1">
<italic>34</italic>
.
<italic>3</italic>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Bhaktapur</td>
<td align="right" rowspan="1" colspan="1">327,907</td>
<td align="char" char="." rowspan="1" colspan="1">68.3</td>
<td align="char" char="." rowspan="1" colspan="1">
<italic>43</italic>
.
<italic>1</italic>
</td>
<td align="char" char="." rowspan="1" colspan="1">
<italic>45</italic>
.
<italic>9</italic>
</td>
<td align="char" char="." rowspan="1" colspan="1">
<italic>44</italic>
.
<italic>6</italic>
</td>
<td align="char" char="." rowspan="1" colspan="1">
<italic>46</italic>
.
<italic>7</italic>
</td>
<td align="char" char="." rowspan="1" colspan="1">
<italic>44</italic>
.
<italic>5</italic>
</td>
<td align="center" rowspan="1" colspan="1">2014</td>
<td align="center" rowspan="1" colspan="1">
<italic>22</italic>
.
<italic>9</italic>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Kaski</td>
<td align="right" rowspan="1" colspan="1">527,439</td>
<td align="char" char="." rowspan="1" colspan="1">75.2</td>
<td align="char" char="." rowspan="1" colspan="1">82.8</td>
<td align="char" char="." rowspan="1" colspan="1">78.1</td>
<td align="char" char="." rowspan="1" colspan="1">71.3</td>
<td align="char" char="." rowspan="1" colspan="1">73.3</td>
<td align="char" char="." rowspan="1" colspan="1">74.5</td>
<td align="center" rowspan="1" colspan="1">2014
<break></break>
2015</td>
<td align="center" rowspan="1" colspan="1">
<italic>59</italic>
.
<italic>6</italic>
<break></break>
<italic>58</italic>
.
<italic>3</italic>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Arghakhanchi</td>
<td align="right" rowspan="1" colspan="1">198,559</td>
<td align="char" char="." rowspan="1" colspan="1">72.5</td>
<td align="char" char="." rowspan="1" colspan="1">74.1</td>
<td align="char" char="." rowspan="1" colspan="1">65.7</td>
<td align="char" char="." rowspan="1" colspan="1">81.1</td>
<td align="char" char="." rowspan="1" colspan="1">83.2</td>
<td align="char" char="." rowspan="1" colspan="1">79.1</td>
<td align="center" rowspan="1" colspan="1">2014</td>
<td align="center" rowspan="1" colspan="1">87.7</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Pyuthan</td>
<td align="right" rowspan="1" colspan="1">231,756</td>
<td align="char" char="." rowspan="1" colspan="1">69.0</td>
<td align="char" char="." rowspan="1" colspan="1">79.1</td>
<td align="char" char="." rowspan="1" colspan="1">68.7</td>
<td align="char" char="." rowspan="1" colspan="1">85.8</td>
<td align="char" char="." rowspan="1" colspan="1">83.1</td>
<td align="char" char="." rowspan="1" colspan="1">84.6</td>
<td align="center" rowspan="1" colspan="1">2015</td>
<td align="center" rowspan="1" colspan="1">89.4</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Lamjung</td>
<td align="right" rowspan="1" colspan="1">168,652</td>
<td align="char" char="." rowspan="1" colspan="1">75.4</td>
<td align="char" char="." rowspan="1" colspan="1">78.8</td>
<td align="char" char="." rowspan="1" colspan="1">
<italic>62</italic>
.
<italic>0</italic>
</td>
<td align="char" char="." rowspan="1" colspan="1">81.6</td>
<td align="char" char="." rowspan="1" colspan="1">81.1</td>
<td align="char" char="." rowspan="1" colspan="1">77.8</td>
<td align="center" rowspan="1" colspan="1">2015</td>
<td align="center" rowspan="1" colspan="1">70.5</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Baglung</td>
<td align="right" rowspan="1" colspan="1">273,614</td>
<td align="char" char="." rowspan="1" colspan="1">80.1</td>
<td align="char" char="." rowspan="1" colspan="1">71.5</td>
<td align="char" char="." rowspan="1" colspan="1">66.7</td>
<td align="char" char="." rowspan="1" colspan="1">69.3</td>
<td align="char" char="." rowspan="1" colspan="1">80.8</td>
<td align="char" char="." rowspan="1" colspan="1">80.1</td>
<td align="center" rowspan="1" colspan="1">2015</td>
<td align="center" rowspan="1" colspan="1">83.6</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Myagdi</td>
<td align="right" rowspan="1" colspan="1">112,439</td>
<td align="char" char="." rowspan="1" colspan="1">82.4</td>
<td align="char" char="." rowspan="1" colspan="1">78.9</td>
<td align="char" char="." rowspan="1" colspan="1">75.1</td>
<td align="char" char="." rowspan="1" colspan="1">88.7</td>
<td align="char" char="." rowspan="1" colspan="1">84.2</td>
<td align="char" char="." rowspan="1" colspan="1">82.9</td>
<td align="center" rowspan="1" colspan="1">2014</td>
<td align="center" rowspan="1" colspan="1">87.8</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Parbat</td>
<td align="right" rowspan="1" colspan="1">146,962</td>
<td align="char" char="." rowspan="1" colspan="1">73.6</td>
<td align="char" char="." rowspan="1" colspan="1">70.1</td>
<td align="char" char="." rowspan="1" colspan="1">
<italic>63</italic>
.
<italic>4</italic>
</td>
<td align="char" char="." rowspan="1" colspan="1">81.8</td>
<td align="char" char="." rowspan="1" colspan="1">78.9</td>
<td align="char" char="." rowspan="1" colspan="1">83.3</td>
<td align="center" rowspan="1" colspan="1">2015</td>
<td align="center" rowspan="1" colspan="1">78.4</td>
</tr>
</tbody>
</table>
</alternatives>
<table-wrap-foot>
<fn id="t001fn001">
<p>In italics, coverage not meeting the 65% epidemiological coverage threshold</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>Results from coverage surveys validated reported district MDA coverage exceeding (Arghakhanchi, Myagdi, Pyuthan, Lamjung, Baglung, and Parbat) or missing (Kathmandu, Lalitpur, and Bhaktapur) the 65% threshold. Results from Kaski in 2014 and 2015 indicated that—although epidemiological coverage had reportedly met the 65% threshold—surveyed coverage was less than 65%. Respondents noted fear of side-effects, illness, and absence as the main reasons for noncompliance.</p>
</sec>
<sec id="sec015">
<title>Pre-TAS and TAS results</title>
<sec id="sec016">
<title>Pre-TAS results</title>
<p>In five out of ten districts (Pyuthan, Arghakhanchi, Kaski, Bhaktapur, and Kathmandu) all sentinel and spot check sites reported results of <2% LF Ag. In Lalitpur, all but one spot check site (3.0%), also had <2% LF Ag. In these six districts, there was a marked decrease between baseline and pre-TAS surveys. In Kathmandu and Bhaktapur, initial mapping in 2001 indicated a LF Ag of 20.0% and 19.8%, respectively. Despite poor reported and surveyed MDA coverage, Kathmandu and Bhaktapur pre-TAS results ranged from 0.33% to 0.67% and 0.0% to 0.33% respectively. In Kaski, LF Ag decreased from 7.3% reported in the 2001 mapping survey to 1.29% in the 2014 pre-TAS. Both Arghakhanchi and Pyuthan had relatively low prevalence at baseline in 2005 (1.9% and 2.2%, respectively). Arghakhanchi appears to have similar pre-TAS results to baseline (1.99% at site with highest number of positives), while Pyuthan had zero positives at each of the survey sites. In all but one of the sites from Lalitpur, LF Ag ranged from 0.0% to 0.98%, which is below the 2.0% LF Ag threshold; one spot check site in a peri-urban area of Lalitpur reported a LF Ag of 3.0% (
<xref ref-type="table" rid="pntd.0005788.t002">Table 2</xref>
).</p>
<table-wrap id="pntd.0005788.t002" orientation="portrait" position="float">
<object-id pub-id-type="doi">10.1371/journal.pntd.0005788.t002</object-id>
<label>Table 2</label>
<caption>
<title>Summary of results from baseline and pre-TAS.</title>
</caption>
<alternatives>
<graphic id="pntd.0005788.t002g" xlink:href="pntd.0005788.t002"></graphic>
<table frame="hsides" rules="groups">
<colgroup span="1">
<col align="left" valign="middle" span="1"></col>
<col align="left" valign="middle" span="1"></col>
<col align="left" valign="middle" span="1"></col>
<col align="left" valign="middle" span="1"></col>
<col align="left" valign="middle" span="1"></col>
<col align="left" valign="middle" span="1"></col>
<col align="left" valign="middle" span="1"></col>
<col align="left" valign="middle" span="1"></col>
<col align="left" valign="middle" span="1"></col>
<col align="left" valign="middle" span="1"></col>
</colgroup>
<thead>
<tr>
<th align="left" rowspan="2" style="background-color:#D9D9D9" colspan="1">District</th>
<th align="center" rowspan="2" style="background-color:#D9D9D9" colspan="1">Population</th>
<th align="center" colspan="2" style="background-color:#D9D9D9" rowspan="1">Baseline</th>
<th align="center" colspan="6" style="background-color:#D9D9D9" rowspan="1">Pre-TAS</th>
</tr>
<tr>
<th align="center" style="background-color:#D9D9D9" rowspan="1" colspan="1">Year</th>
<th align="center" style="background-color:#D9D9D9" rowspan="1" colspan="1">Infection prevalence (%)</th>
<th align="center" style="background-color:#D9D9D9" rowspan="1" colspan="1"># sentinel sites</th>
<th align="center" style="background-color:#D9D9D9" rowspan="1" colspan="1"># persons tested per site</th>
<th align="center" style="background-color:#D9D9D9" rowspan="1" colspan="1">LF Ag (%)</th>
<th align="center" style="background-color:#D9D9D9" rowspan="1" colspan="1"># spot check sites</th>
<th align="center" style="background-color:#D9D9D9" rowspan="1" colspan="1"># persons tested per site</th>
<th align="center" style="background-color:#D9D9D9" rowspan="1" colspan="1">LF Ag (%)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" rowspan="1" colspan="1">Kathmandu</td>
<td align="right" rowspan="1" colspan="1">1,916,667</td>
<td align="center" rowspan="1" colspan="1">2001</td>
<td align="char" char="." rowspan="1" colspan="1">20.0
<xref ref-type="table-fn" rid="t002fn001">^</xref>
</td>
<td align="center" rowspan="1" colspan="1">1</td>
<td align="center" rowspan="1" colspan="1">300</td>
<td align="char" char="." rowspan="1" colspan="1">0.3</td>
<td align="center" rowspan="1" colspan="1">5</td>
<td align="center" rowspan="1" colspan="1">300</td>
<td align="center" rowspan="1" colspan="1">Range: 0.33–0.67</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Lalitpur</td>
<td align="right" rowspan="1" colspan="1">505,490</td>
<td align="center" rowspan="1" colspan="1">2008</td>
<td align="char" char="." rowspan="1" colspan="1">1.06
<xref ref-type="table-fn" rid="t002fn002">*</xref>
</td>
<td align="center" rowspan="1" colspan="1">1</td>
<td align="center" rowspan="1" colspan="1">300</td>
<td align="char" char="." rowspan="1" colspan="1">0.66</td>
<td align="center" rowspan="1" colspan="1">5</td>
<td align="center" rowspan="1" colspan="1">300</td>
<td align="center" rowspan="1" colspan="1">Range: 0.0–3.0</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Bhaktapur</td>
<td align="right" rowspan="1" colspan="1">327,907</td>
<td align="center" rowspan="1" colspan="1">2001</td>
<td align="char" char="." rowspan="1" colspan="1">19.8
<xref ref-type="table-fn" rid="t002fn001">^</xref>
</td>
<td align="center" rowspan="1" colspan="1">1</td>
<td align="center" rowspan="1" colspan="1">300</td>
<td align="char" char="." rowspan="1" colspan="1">0.0</td>
<td align="center" rowspan="1" colspan="1">3</td>
<td align="center" rowspan="1" colspan="1">300</td>
<td align="center" rowspan="1" colspan="1">Range: 0.33–0.67</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Kaski</td>
<td align="right" rowspan="1" colspan="1">527,439</td>
<td align="center" rowspan="1" colspan="1">2001</td>
<td align="char" char="." rowspan="1" colspan="1">7.3
<xref ref-type="table-fn" rid="t002fn001">^</xref>
</td>
<td align="center" rowspan="1" colspan="1">1</td>
<td align="center" rowspan="1" colspan="1">300</td>
<td align="char" char="." rowspan="1" colspan="1">0.97</td>
<td align="center" rowspan="1" colspan="1">1</td>
<td align="center" rowspan="1" colspan="1">300</td>
<td align="center" rowspan="1" colspan="1">1.28</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Arghakhanchi</td>
<td align="right" rowspan="1" colspan="1">198,559</td>
<td align="center" rowspan="1" colspan="1">2005</td>
<td align="char" char="." rowspan="1" colspan="1">1.9
<xref ref-type="table-fn" rid="t002fn001">^</xref>
</td>
<td align="center" rowspan="1" colspan="1">1</td>
<td align="center" rowspan="1" colspan="1">300</td>
<td align="char" char="." rowspan="1" colspan="1">1.99</td>
<td align="center" rowspan="1" colspan="1">1</td>
<td align="center" rowspan="1" colspan="1">300</td>
<td align="center" rowspan="1" colspan="1">0.98</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Pyuthan</td>
<td align="right" rowspan="1" colspan="1">231,756</td>
<td align="center" rowspan="1" colspan="1">2005</td>
<td align="char" char="." rowspan="1" colspan="1">2.2
<xref ref-type="table-fn" rid="t002fn001">^</xref>
</td>
<td align="center" rowspan="1" colspan="1">1</td>
<td align="center" rowspan="1" colspan="1">300</td>
<td align="char" char="." rowspan="1" colspan="1">0.0</td>
<td align="center" rowspan="1" colspan="1">1</td>
<td align="center" rowspan="1" colspan="1">300</td>
<td align="center" rowspan="1" colspan="1">0.00</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Lamjung</td>
<td align="right" rowspan="1" colspan="1">168,652</td>
<td align="center" rowspan="1" colspan="1">2008</td>
<td align="char" char="." rowspan="1" colspan="1">5.76
<xref ref-type="table-fn" rid="t002fn002">*</xref>
</td>
<td align="center" rowspan="1" colspan="1">1</td>
<td align="center" rowspan="1" colspan="1">300</td>
<td align="char" char="." rowspan="1" colspan="1">5.66</td>
<td align="center" rowspan="1" colspan="1">1</td>
<td align="center" rowspan="1" colspan="1">300</td>
<td align="center" rowspan="1" colspan="1">0.0</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Baglung</td>
<td align="right" rowspan="1" colspan="1">273,614</td>
<td align="center" rowspan="1" colspan="1">2005</td>
<td align="char" char="." rowspan="1" colspan="1">12.4
<xref ref-type="table-fn" rid="t002fn001">^</xref>
</td>
<td align="center" rowspan="1" colspan="1">1</td>
<td align="center" rowspan="1" colspan="1">300</td>
<td align="char" char="." rowspan="1" colspan="1">3.0</td>
<td align="center" rowspan="1" colspan="1">1</td>
<td align="center" rowspan="1" colspan="1">300</td>
<td align="center" rowspan="1" colspan="1">0.0</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Myagdi</td>
<td align="right" rowspan="1" colspan="1">112,439</td>
<td align="center" rowspan="1" colspan="1">2005</td>
<td align="char" char="." rowspan="1" colspan="1">11.8
<xref ref-type="table-fn" rid="t002fn001">^</xref>
</td>
<td align="center" rowspan="1" colspan="1">1</td>
<td align="center" rowspan="1" colspan="1">300</td>
<td align="char" char="." rowspan="1" colspan="1">0.66</td>
<td align="center" rowspan="1" colspan="1">1</td>
<td align="center" rowspan="1" colspan="1">300</td>
<td align="center" rowspan="1" colspan="1">2.3</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Parbat</td>
<td align="right" rowspan="1" colspan="1">146,962</td>
<td align="center" rowspan="1" colspan="1">2008</td>
<td align="char" char="." rowspan="1" colspan="1">4.83
<xref ref-type="table-fn" rid="t002fn002">*</xref>
</td>
<td align="center" rowspan="1" colspan="1">1</td>
<td align="center" rowspan="1" colspan="1">300</td>
<td align="char" char="." rowspan="1" colspan="1">0.97</td>
<td align="center" rowspan="1" colspan="1">1</td>
<td align="center" rowspan="1" colspan="1">300</td>
<td align="center" rowspan="1" colspan="1">2.5</td>
</tr>
</tbody>
</table>
</alternatives>
<table-wrap-foot>
<fn id="t002fn001">
<p>^, ICT used at mapping;</p>
</fn>
<fn id="t002fn002">
<p>*, blood film (Mf) used at mapping</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>Four districts had LF Ag of ≥2% and, thus, failed to meet the TAS eligibility criteria. Baglung and Myagdi both reported a baseline LF Ag exceeding 10.0% in 2005 and experienced considerable decreases in LF Ag at sentinel and spot-check sites, but did not meet the 2% TAS threshold (Baglung’s sentinel site: 3.0%; Myagdi’s spot-check site: 2.3%). In the other two districts, Parbat and Lamjung, with mapping mf prevalence 4.83% and 5.76% respectively, were also not qualified for TAS (
<xref ref-type="table" rid="pntd.0005788.t002">Table 2</xref>
).</p>
<p>Out of total number of people tested during pre-TAS in all districts, only five (0.06%) reported being affected with chronic symptoms of LF. Out of those five cases, four were reported from Bhaktapur and one from Myagdi. Interestingly, the case in Myagdi was a child under the age of 9 years with positive Ag.</p>
<p>We asked pre-TAS participants if they had taken drugs during at least one out of five MDA rounds. The MDA compliance rate reported during pre-TAS was slightly higher than the reported MDA coverage in all ten districts (
<xref ref-type="table" rid="pntd.0005788.t003">Table 3</xref>
). In Lalitpur, Bhaktapur, Kaski, Arghakhanchi, and Lamjung, the LF Ag was higher among participants who had never taken the drugs during MDA.</p>
<table-wrap id="pntd.0005788.t003" orientation="portrait" position="float">
<object-id pub-id-type="doi">10.1371/journal.pntd.0005788.t003</object-id>
<label>Table 3</label>
<caption>
<title>LF antigenemia in pre-TAS survey based on MDA participation.</title>
</caption>
<alternatives>
<graphic id="pntd.0005788.t003g" xlink:href="pntd.0005788.t003"></graphic>
<table frame="hsides" rules="groups">
<colgroup span="1">
<col align="left" valign="middle" span="1"></col>
<col align="left" valign="middle" span="1"></col>
<col align="left" valign="middle" span="1"></col>
<col align="left" valign="middle" span="1"></col>
<col align="left" valign="middle" span="1"></col>
<col align="left" valign="middle" span="1"></col>
</colgroup>
<thead>
<tr>
<th align="center" style="background-color:#E7E6E6" rowspan="1" colspan="1">District</th>
<th align="center" style="background-color:#E7E6E6" rowspan="1" colspan="1">Compliance rate (%)</th>
<th align="center" style="background-color:#E7E6E6" rowspan="1" colspan="1">Number of Non compliants examined for Ag</th>
<th align="center" style="background-color:#E7E6E6" rowspan="1" colspan="1">Ag among non- compliants</th>
<th align="center" style="background-color:#E7E6E6" rowspan="1" colspan="1">Number of compliants examined for Ag</th>
<th align="center" style="background-color:#E7E6E6" rowspan="1" colspan="1">Ag among compliants</th>
</tr>
</thead>
<tbody>
<tr>
<td align="center" rowspan="1" colspan="1">Kathmandu</td>
<td align="center" rowspan="1" colspan="1">59</td>
<td align="center" rowspan="1" colspan="1">730</td>
<td align="char" char="." rowspan="1" colspan="1">0.4</td>
<td align="center" rowspan="1" colspan="1">1,070</td>
<td align="char" char="." rowspan="1" colspan="1">0.7</td>
</tr>
<tr>
<td align="center" rowspan="1" colspan="1">Lalitpur</td>
<td align="center" rowspan="1" colspan="1">65</td>
<td align="center" rowspan="1" colspan="1">595</td>
<td align="char" char="." rowspan="1" colspan="1">1.8</td>
<td align="center" rowspan="1" colspan="1">1,205</td>
<td align="char" char="." rowspan="1" colspan="1">0.3</td>
</tr>
<tr>
<td align="center" rowspan="1" colspan="1">Bhaktapur</td>
<td align="center" rowspan="1" colspan="1">49</td>
<td align="center" rowspan="1" colspan="1">606</td>
<td align="char" char="." rowspan="1" colspan="1">0.2</td>
<td align="center" rowspan="1" colspan="1">594</td>
<td align="char" char="." rowspan="1" colspan="1">0.0</td>
</tr>
<tr>
<td align="center" rowspan="1" colspan="1">Kaski</td>
<td align="center" rowspan="1" colspan="1">89</td>
<td align="center" rowspan="1" colspan="1">60</td>
<td align="char" char="." rowspan="1" colspan="1">1.6</td>
<td align="center" rowspan="1" colspan="1">540</td>
<td align="char" char="." rowspan="1" colspan="1">1.1</td>
</tr>
<tr>
<td align="center" rowspan="1" colspan="1">Arghakhanchi</td>
<td align="center" rowspan="1" colspan="1">90</td>
<td align="center" rowspan="1" colspan="1">53</td>
<td align="char" char="." rowspan="1" colspan="1">1.7</td>
<td align="center" rowspan="1" colspan="1">547</td>
<td align="char" char="." rowspan="1" colspan="1">1.5</td>
</tr>
<tr>
<td align="center" rowspan="1" colspan="1">Pyuthan</td>
<td align="center" rowspan="1" colspan="1">90</td>
<td align="center" rowspan="1" colspan="1">56</td>
<td align="char" char="." rowspan="1" colspan="1">0.0</td>
<td align="center" rowspan="1" colspan="1">544</td>
<td align="char" char="." rowspan="1" colspan="1">0.0</td>
</tr>
<tr>
<td align="center" rowspan="1" colspan="1">Lamjung</td>
<td align="center" rowspan="1" colspan="1">92</td>
<td align="center" rowspan="1" colspan="1">47</td>
<td align="char" char="." rowspan="1" colspan="1">6.4</td>
<td align="center" rowspan="1" colspan="1">553</td>
<td align="char" char="." rowspan="1" colspan="1">2.5</td>
</tr>
<tr>
<td align="center" rowspan="1" colspan="1">Baglung</td>
<td align="center" rowspan="1" colspan="1">93</td>
<td align="center" rowspan="1" colspan="1">45</td>
<td align="char" char="." rowspan="1" colspan="1">0.0</td>
<td align="center" rowspan="1" colspan="1">555</td>
<td align="char" char="." rowspan="1" colspan="1">1.6</td>
</tr>
<tr>
<td align="center" rowspan="1" colspan="1">Myagdi</td>
<td align="center" rowspan="1" colspan="1">91</td>
<td align="center" rowspan="1" colspan="1">50</td>
<td align="char" char="." rowspan="1" colspan="1">0.0</td>
<td align="center" rowspan="1" colspan="1">550</td>
<td align="char" char="." rowspan="1" colspan="1">1.6</td>
</tr>
<tr>
<td align="center" rowspan="1" colspan="1">Parbat</td>
<td align="center" rowspan="1" colspan="1">90</td>
<td align="center" rowspan="1" colspan="1">55</td>
<td align="char" char="." rowspan="1" colspan="1">1.8</td>
<td align="center" rowspan="1" colspan="1">545</td>
<td align="char" char="." rowspan="1" colspan="1">1.8</td>
</tr>
</tbody>
</table>
</alternatives>
</table-wrap>
</sec>
<sec id="sec017">
<title>TAS results</title>
<p>Based on the pre-TAS results, six districts, grouped into six EUs, went on to conduct a TAS. Arghakhanchi did have one site with LF Ag of 1.99%, but following consultation with WHO, it was decided that this was still sufficient for meeting TAS eligibility. Kathmandu, Lalitpur, and Bhaktapur were of concern to the National LF Program. While all sentinel and nearly all spot check sites had LF Ag <2% at pre-TAS, these districts failed to attain epidemiological coverage of ≥65% for all five MDA rounds and surveyed coverage was even lower than reported MDA coverage. As a result, the Ministry of Health and Population (MOHP) consulted with WHO staff at a SEARO meeting in Puducherry, India, in June 2015. Based on the LF Ag data collected and the concern that these districts would—if continuing to implement MDAs—never reach the required epidemiological coverage, WHO advised the MOHP to proceed with TAS. For Lalitpur, given that one spot check site reported a LF Ag >2%, WHO advised splitting the district into two EUs. The National LF Program divided Lalitpur into “rural” and “urban” sub-districts, with the “urban” sub-district advancing to TAS, and the “rural” sub-district including the peri-urban spot check site with 3% LF Ag underwent additional two MDA rounds in 2015 and 2016. Since Kathmandu’s population was 1.9 million, the National LF Program decided to divide the district into two EUs. Arghakhanchi and Pyuthan were grouped together into one EU, given their similar baseline prevalence and geographic proximity. TAS implementation in six EUs showed that all six achieved the prevalence threshold required to stop MDA (
<xref ref-type="table" rid="pntd.0005788.t004">Table 4</xref>
).</p>
<table-wrap id="pntd.0005788.t004" orientation="portrait" position="float">
<object-id pub-id-type="doi">10.1371/journal.pntd.0005788.t004</object-id>
<label>Table 4</label>
<caption>
<title>Summary of results from TAS.</title>
</caption>
<alternatives>
<graphic id="pntd.0005788.t004g" xlink:href="pntd.0005788.t004"></graphic>
<table frame="hsides" rules="groups">
<colgroup span="1">
<col align="left" valign="middle" span="1"></col>
<col align="left" valign="middle" span="1"></col>
<col align="left" valign="middle" span="1"></col>
<col align="left" valign="middle" span="1"></col>
<col align="left" valign="middle" span="1"></col>
<col align="left" valign="middle" span="1"></col>
<col align="left" valign="middle" span="1"></col>
<col align="left" valign="middle" span="1"></col>
<col align="left" valign="middle" span="1"></col>
</colgroup>
<thead>
<tr>
<th align="center" style="background-color:#D9D9D9" rowspan="1" colspan="1">Name of evaluation unit</th>
<th align="center" style="background-color:#D9D9D9" rowspan="1" colspan="1">Name of IU</th>
<th align="center" style="background-color:#D9D9D9" rowspan="1" colspan="1">Diagnostic test</th>
<th align="center" style="background-color:#D9D9D9" rowspan="1" colspan="1">Age group surveyed in years (Min-Max)</th>
<th align="center" style="background-color:#D9D9D9" rowspan="1" colspan="1">Target sample size</th>
<th align="center" style="background-color:#D9D9D9" rowspan="1" colspan="1">Number of people examined</th>
<th align="center" style="background-color:#D9D9D9" rowspan="1" colspan="1">Number of people positive</th>
<th align="center" style="background-color:#D9D9D9" rowspan="1" colspan="1">Number of people for critical cut off</th>
<th align="center" style="background-color:#D9D9D9" rowspan="1" colspan="1">Pass/Fail</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" rowspan="1" colspan="1">KTM-Rural</td>
<td align="left" rowspan="1" colspan="1">Kathmandu</td>
<td align="center" rowspan="1" colspan="1">FTS</td>
<td align="center" rowspan="1" colspan="1">6–9</td>
<td align="center" rowspan="1" colspan="1">1,556</td>
<td align="center" rowspan="1" colspan="1">1,562</td>
<td align="center" rowspan="1" colspan="1">4</td>
<td align="center" rowspan="1" colspan="1">18</td>
<td align="center" rowspan="1" colspan="1">Pass</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">KTM- Urban</td>
<td align="left" rowspan="1" colspan="1">Kathmandu</td>
<td align="center" rowspan="1" colspan="1">FTS</td>
<td align="center" rowspan="1" colspan="1">6–9</td>
<td align="center" rowspan="1" colspan="1">1,556</td>
<td align="center" rowspan="1" colspan="1">1,587</td>
<td align="center" rowspan="1" colspan="1">8</td>
<td align="center" rowspan="1" colspan="1">18</td>
<td align="center" rowspan="1" colspan="1">Pass</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">LAL-Urban</td>
<td align="left" rowspan="1" colspan="1">Lalitpur (partial)</td>
<td align="center" rowspan="1" colspan="1">FTS</td>
<td align="center" rowspan="1" colspan="1">6–9</td>
<td align="center" rowspan="1" colspan="1">1,540</td>
<td align="center" rowspan="1" colspan="1">1,600</td>
<td align="center" rowspan="1" colspan="1">6</td>
<td align="center" rowspan="1" colspan="1">18</td>
<td align="center" rowspan="1" colspan="1">Pass</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Bhaktapur</td>
<td align="left" rowspan="1" colspan="1">Bhaktapur</td>
<td align="center" rowspan="1" colspan="1">FTS</td>
<td align="center" rowspan="1" colspan="1">6–9</td>
<td align="center" rowspan="1" colspan="1">1,540</td>
<td align="center" rowspan="1" colspan="1">1,579</td>
<td align="center" rowspan="1" colspan="1">2</td>
<td align="center" rowspan="1" colspan="1">18</td>
<td align="center" rowspan="1" colspan="1">Pass</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Kaski</td>
<td align="left" rowspan="1" colspan="1">Kaski</td>
<td align="center" rowspan="1" colspan="1">FTS</td>
<td align="center" rowspan="1" colspan="1">6–9</td>
<td align="center" rowspan="1" colspan="1">1,556</td>
<td align="center" rowspan="1" colspan="1">1,566</td>
<td align="center" rowspan="1" colspan="1">2</td>
<td align="center" rowspan="1" colspan="1">18</td>
<td align="center" rowspan="1" colspan="1">Pass</td>
</tr>
<tr>
<td align="left" rowspan="2" colspan="1">Argha-Pyuthan</td>
<td align="left" rowspan="1" colspan="1">Arghakhanchi</td>
<td align="center" rowspan="2" colspan="1">FTS</td>
<td align="center" rowspan="2" colspan="1">6–9</td>
<td align="center" rowspan="2" colspan="1">1556</td>
<td align="center" rowspan="2" colspan="1">1601</td>
<td align="center" rowspan="2" colspan="1">0</td>
<td align="center" rowspan="2" colspan="1">18</td>
<td align="center" rowspan="2" colspan="1">Pass</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Pyuthan</td>
</tr>
</tbody>
</table>
</alternatives>
</table-wrap>
</sec>
</sec>
</sec>
<sec id="sec018">
<title>Discussion and conclusion</title>
<p>The impact of MDA to eliminate LF transmission is determined by the reduction of LF Ag below a critical cut-off in each EU as measured by the TAS [
<xref rid="pntd.0005788.ref014" ref-type="bibr">14</xref>
]. In the current study, LF prevalence was shown to be reduced in ten districts that underwent at least five MDA rounds with DEC and ALB. Six out of ten districts showed decreased LF Ag in pre-TAS compared to baseline. In five of the six districts, results indicate that transmission was interrupted; part of a sixth district, Lalitpur, was also found to have interrupted transmission.</p>
<p>Though the TAS sampling method was different to the one used for the baseline survey and pre-TAS, continuous reductions in LF Ag were observed from the first survey done in 2001 to surveys done in 2015. In a study conducted by Sherchand et al. [
<xref rid="pntd.0005788.ref011" ref-type="bibr">11</xref>
] in 2001, LF Ag was reported to be 20% from Kathmandu, 19.8% from Bhaktapur, and 7.3% from Kaski among the adult population (>15 years of age). Substantial decreases in LF Ag were observed at pre-TAS compared to baseline surveys, the exception being a spot check site in Lalitpur. In nine out of ten districts no children below 9 years of age were positive for LF Ag. Although LF Ag had been reduced in all districts, only six districts passed the eligibility criteria to advance to TAS. In the other four districts (Parbat, Lamjung, Myagdi and Baglung) five rounds of LF MDA with consistently good coverage had an impact on transmission, but not sufficient to interrupt LF transmission completely—it is expected that additional rounds of MDA in these districts are required to do so. Districts/EUs that conducted TAS showed LF Ag below the established cutoff, and MDAs in those district can be discontinued.</p>
<p>The Nepal National LF Program faced a significant challenge as a result of Serious adverse effects (SAEs) that occurred during MDAs in 2011. SAEs included several deaths, and were widely publicized in Nepal. An investigation was conducted by the MOHP and the WHO, which determined that the deaths were coincidental and not related to taking the drugs; quality testing of the DEC and ALB was done to ensure they met national quality standards. Moreover, the national program provided additional education to drug distributors about the recommended drug dosages (6 mg/kg DEC and 400 mg ALB). Drug distributors and the population received clearer information about potential drug side effects and what to do if adverse or SAEs were experienced. People who experienced nausea, fever, headache, dizziness, or other symptoms after taking the drugs were encouraged to visit the nearest health facility immediately and the National LF Program provided management, as required. A policy was also established for drugs to only be distributed in the winter months, to avoid people from having to take them when working outside during hot summer months and possibly becoming dehydrated. Nonetheless MDA epidemiological coverage was affected, with nine out of ten districts experiencing a reduction in coverage in 2012, and the three largely urban and peri-urban districts of Kathmandu, Lalitpur, and Bhaktapur never exceeding 65% coverage in subsequent MDAs.</p>
<p>The impact of MDA on LF transmission in Nepal was found to be considerable and in line with findings observed in India, Papua New Guinea, and Egypt [
<xref rid="pntd.0005788.ref015" ref-type="bibr">15</xref>
<xref rid="pntd.0005788.ref017" ref-type="bibr">17</xref>
], all of which conducted MDA with DEC and ALB. In a couple of LF endemic districts of India, the LF mf and LF Ag prevalence was 0.2% and 2.3%, respectively, after eight MDA rounds [
<xref rid="pntd.0005788.ref017" ref-type="bibr">17</xref>
]. In a multicenter study carried out in different countries, 10 out of 11 countries showed LF prevalence below the 2% cutoff point after completion of five MDA rounds [
<xref rid="pntd.0005788.ref018" ref-type="bibr">18</xref>
]. Compliance is one of the major factors that influence the interruption of LF transmission. Studies have reported higher LF Ag after several MDA rounds among non-compliant than compliant population groups [
<xref rid="pntd.0005788.ref019" ref-type="bibr">19</xref>
,
<xref rid="pntd.0005788.ref020" ref-type="bibr">20</xref>
]. Poor compliance has been reported from India, where out of 99% of study participants who received DEC and ALB tablets during MDA, only 30% actually consumed the drugs [
<xref rid="pntd.0005788.ref021" ref-type="bibr">21</xref>
]. Various factors such as lower educational status, higher age, lack of awareness and/or knowledge of LF and MDA, unwillingness of health care workers to visit for MDA distribution, and particularly unawareness of fear of side-effects are reasons for low MDA compliance [
<xref rid="pntd.0005788.ref022" ref-type="bibr">22</xref>
<xref rid="pntd.0005788.ref024" ref-type="bibr">24</xref>
]. Several studies from India have reported that non-compliance compromises MDA effectiveness [
<xref rid="pntd.0005788.ref021" ref-type="bibr">21</xref>
,
<xref rid="pntd.0005788.ref025" ref-type="bibr">25</xref>
<xref rid="pntd.0005788.ref028" ref-type="bibr">28</xref>
]. Similarly, data from Egypt, where compliance was reportedly excellent (>85%) showed that the people who had never taken DEC and ALB had higher levels of mf and LF Ag in comparison to those who took all five MDA doses [
<xref rid="pntd.0005788.ref016" ref-type="bibr">16</xref>
]. In our study, compliance as recorded during pre-TAS ranged from 49% to 93%, which in most of the districts (7 out of 10) was sufficiently higher than the expected >65% target. Reported MDA coverage rates ranged from 44–89%, which were validated by coverage surveys in nine of the ten districts included in this study.</p>
<p>In our study, the MDA coverage varied among the EUs which met TAS eligibility criteria based on pre-TAS data. Despite low MDA coverage and compliance in three districts (Kathmandu, Lalitpur and Bhaktapur), all six EUs passed TAS. This indicates that MDA coverage of around 50% may be sufficient to interrupt LF transmission in urban populations. In contrast, four rural districts having high MDA coverage were unable to stop LF transmission after five MDA rounds; we noted that these districts’ baseline LF prevalence was comparatively higher. Thus, MDA coverage is not the single factor that may determine the number of MDA rounds required to interrupt LF transmission, and other factors such as baseline LF prevalence, population density [
<xref rid="pntd.0005788.ref029" ref-type="bibr">29</xref>
], occupation [
<xref rid="pntd.0005788.ref030" ref-type="bibr">30</xref>
], personal hygiene [
<xref rid="pntd.0005788.ref031" ref-type="bibr">31</xref>
], level of education and nutritional status [
<xref rid="pntd.0005788.ref002" ref-type="bibr">2</xref>
] should be considered. Overall, our study showed the effective implementation of LF elimination efforts in Nepal, with some districts requiring additional MDA rounds to achieve LF transmission interruption.</p>
</sec>
</body>
<back>
<ack>
<p>We are thankful to USAID and RTI ENVISION project for their technical supports in the entire study. We also thank to all members of Leadership for Environment and Development (LEAD) Nepal for management of field work during the survey. We would like to show our gratitude to World Health Organization (WHO) Nepal and Epidemiology and Disease Control Division (EDCD) Nepal for providing monitoring and evaluation support for this project. We are also immensely grateful to District Health/Public Health Office, District education office, School administration for their coordination. We thank to all participants of the study and their guardian who made the study possible.</p>
</ack>
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