Mapping and estimating the population at risk from lymphatic filariasis in Africa.
Identifieur interne : 004A92 ( PubMed/Corpus ); précédent : 004A91; suivant : 004A93Mapping and estimating the population at risk from lymphatic filariasis in Africa.
Auteurs : S W Lindsay ; C J ThomasSource :
- Transactions of the Royal Society of Tropical Medicine and Hygiene [ 0035-9203 ]
English descriptors
- KwdEn :
- MESH :
- geographic , epidemiology : Africa.
- epidemiology : Elephantiasis, Filarial.
- transmission : Elephantiasis, Filarial.
- Animals, Data Collection, Health Surveys, Humans, Logistic Models, Prevalence, Risk Factors, Topography, Medical, Tropical Climate, Wuchereria bancrofti.
Abstract
Lymphatic filariasis remains a major public health problem in Africa and is 1 of the World Health Organization's 6 diseases targeted for global eradication. However, no detailed maps of the geographical distribution of this disease exist, making it difficult to target control activities and quantify the population at risk. We hypothesized that the distribution lymphatic filariasis is governed by climate. The climate at sites in Africa where surveys for lymphatic filariasis had taken place was characterized using computerized climate surfaces. Logistic regression analysis of the climate variables predicted with 76% accuracy whether sites had microfilaraemic patients or not. We used the logistic equation in a geographical information system to map risk of lymphatic filariasis infection across Africa, which compared favourably with expert opinion. Further validation with a quasi-independent data set showed that the model predicted correctly 88% of infected sites. A similar procedure was used to map risk of microfilaraemia in Egypt, where the dominant vector species differs from those in sub-Saharan Africa. By overlaying risk maps on a 1990 population grid, and adjusting for recent population increases, we estimate that around 420 million people will be exposed to this infection in Africa in the year 2000. This approach could be used to produce a sampling frame, based on estimated risk of microfilaraemia, for conducting filariasis surveys in countries that lack accurate distribution maps and thus save on costs.
PubMed: 10748895
Links to Exploration step
pubmed:10748895Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Mapping and estimating the population at risk from lymphatic filariasis in Africa.</title><author><name sortKey="Lindsay, S W" sort="Lindsay, S W" uniqKey="Lindsay S" first="S W" last="Lindsay">S W Lindsay</name><affiliation><nlm:affiliation>Department of Biological Sciences, University of Durham, UK. s.w.lindsay@durham.ac.uk</nlm:affiliation></affiliation></author><author><name sortKey="Thomas, C J" sort="Thomas, C J" uniqKey="Thomas C" first="C J" last="Thomas">C J Thomas</name></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="????"><PubDate><MedlineDate>2000 Jan-Feb</MedlineDate></PubDate></date><idno type="RBID">pubmed:10748895</idno><idno type="pmid">10748895</idno><idno type="wicri:Area/PubMed/Corpus">004A92</idno><idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Corpus" wicri:corpus="PubMed">004A92</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Mapping and estimating the population at risk from lymphatic filariasis in Africa.</title><author><name sortKey="Lindsay, S W" sort="Lindsay, S W" uniqKey="Lindsay S" first="S W" last="Lindsay">S W Lindsay</name><affiliation><nlm:affiliation>Department of Biological Sciences, University of Durham, UK. s.w.lindsay@durham.ac.uk</nlm:affiliation></affiliation></author><author><name sortKey="Thomas, C J" sort="Thomas, C J" uniqKey="Thomas C" first="C J" last="Thomas">C J Thomas</name></author></analytic><series><title level="j">Transactions of the Royal Society of Tropical Medicine and Hygiene</title><idno type="ISSN">0035-9203</idno></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Africa (epidemiology)</term><term>Animals</term><term>Data Collection</term><term>Elephantiasis, Filarial (epidemiology)</term><term>Elephantiasis, Filarial (transmission)</term><term>Health Surveys</term><term>Humans</term><term>Logistic Models</term><term>Prevalence</term><term>Risk Factors</term><term>Topography, Medical</term><term>Tropical Climate</term><term>Wuchereria bancrofti</term></keywords><keywords scheme="MESH" type="geographic" qualifier="epidemiology" xml:lang="en"><term>Africa</term></keywords><keywords scheme="MESH" qualifier="epidemiology" xml:lang="en"><term>Elephantiasis, Filarial</term></keywords><keywords scheme="MESH" qualifier="transmission" xml:lang="en"><term>Elephantiasis, Filarial</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Animals</term><term>Data Collection</term><term>Health Surveys</term><term>Humans</term><term>Logistic Models</term><term>Prevalence</term><term>Risk Factors</term><term>Topography, Medical</term><term>Tropical Climate</term><term>Wuchereria bancrofti</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Lymphatic filariasis remains a major public health problem in Africa and is 1 of the World Health Organization's 6 diseases targeted for global eradication. However, no detailed maps of the geographical distribution of this disease exist, making it difficult to target control activities and quantify the population at risk. We hypothesized that the distribution lymphatic filariasis is governed by climate. The climate at sites in Africa where surveys for lymphatic filariasis had taken place was characterized using computerized climate surfaces. Logistic regression analysis of the climate variables predicted with 76% accuracy whether sites had microfilaraemic patients or not. We used the logistic equation in a geographical information system to map risk of lymphatic filariasis infection across Africa, which compared favourably with expert opinion. Further validation with a quasi-independent data set showed that the model predicted correctly 88% of infected sites. A similar procedure was used to map risk of microfilaraemia in Egypt, where the dominant vector species differs from those in sub-Saharan Africa. By overlaying risk maps on a 1990 population grid, and adjusting for recent population increases, we estimate that around 420 million people will be exposed to this infection in Africa in the year 2000. This approach could be used to produce a sampling frame, based on estimated risk of microfilaraemia, for conducting filariasis surveys in countries that lack accurate distribution maps and thus save on costs.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">10748895</PMID><DateCreated><Year>2000</Year><Month>04</Month><Day>26</Day></DateCreated><DateCompleted><Year>2000</Year><Month>04</Month><Day>26</Day></DateCompleted><DateRevised><Year>2004</Year><Month>11</Month><Day>17</Day></DateRevised><Article PubModel="Print"><Journal><ISSN IssnType="Print">0035-9203</ISSN><JournalIssue CitedMedium="Print"><Volume>94</Volume><Issue>1</Issue><PubDate><MedlineDate>2000 Jan-Feb</MedlineDate></PubDate></JournalIssue><Title>Transactions of the Royal Society of Tropical Medicine and Hygiene</Title><ISOAbbreviation>Trans. R. Soc. Trop. Med. Hyg.</ISOAbbreviation></Journal><ArticleTitle>Mapping and estimating the population at risk from lymphatic filariasis in Africa.</ArticleTitle><Pagination><MedlinePgn>37-45</MedlinePgn></Pagination><Abstract><AbstractText>Lymphatic filariasis remains a major public health problem in Africa and is 1 of the World Health Organization's 6 diseases targeted for global eradication. However, no detailed maps of the geographical distribution of this disease exist, making it difficult to target control activities and quantify the population at risk. We hypothesized that the distribution lymphatic filariasis is governed by climate. The climate at sites in Africa where surveys for lymphatic filariasis had taken place was characterized using computerized climate surfaces. Logistic regression analysis of the climate variables predicted with 76% accuracy whether sites had microfilaraemic patients or not. We used the logistic equation in a geographical information system to map risk of lymphatic filariasis infection across Africa, which compared favourably with expert opinion. Further validation with a quasi-independent data set showed that the model predicted correctly 88% of infected sites. A similar procedure was used to map risk of microfilaraemia in Egypt, where the dominant vector species differs from those in sub-Saharan Africa. By overlaying risk maps on a 1990 population grid, and adjusting for recent population increases, we estimate that around 420 million people will be exposed to this infection in Africa in the year 2000. This approach could be used to produce a sampling frame, based on estimated risk of microfilaraemia, for conducting filariasis surveys in countries that lack accurate distribution maps and thus save on costs.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Lindsay</LastName><ForeName>S W</ForeName><Initials>SW</Initials><AffiliationInfo><Affiliation>Department of Biological Sciences, University of Durham, UK. s.w.lindsay@durham.ac.uk</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Thomas</LastName><ForeName>C J</ForeName><Initials>CJ</Initials></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList></Article><MedlineJournalInfo><Country>England</Country><MedlineTA>Trans R Soc Trop Med Hyg</MedlineTA><NlmUniqueID>7506129</NlmUniqueID><ISSNLinking>0035-9203</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D000349" MajorTopicYN="N" Type="Geographic">Africa</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D000818" MajorTopicYN="N">Animals</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D003625" MajorTopicYN="N">Data Collection</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D004605" MajorTopicYN="N">Elephantiasis, Filarial</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="Y">epidemiology</QualifierName><QualifierName UI="Q000635" MajorTopicYN="N">transmission</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D006306" MajorTopicYN="N">Health Surveys</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D016015" MajorTopicYN="Y">Logistic Models</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D015995" MajorTopicYN="N">Prevalence</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D012307" MajorTopicYN="N">Risk Factors</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D019371" MajorTopicYN="N">Topography, Medical</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D014329" MajorTopicYN="Y">Tropical Climate</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D014958" MajorTopicYN="Y">Wuchereria bancrofti</DescriptorName></MeshHeading></MeshHeadingList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="pubmed"><Year>2000</Year><Month>4</Month><Day>5</Day><Hour>9</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2000</Year><Month>4</Month><Day>29</Day><Hour>9</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2000</Year><Month>4</Month><Day>5</Day><Hour>9</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">10748895</ArticleId></ArticleIdList></PubmedData></pubmed></record>Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Wicri/Sante/explor/LymphedemaV1/Data/PubMed/Corpus
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 004A92 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/PubMed/Corpus/biblio.hfd -nk 004A92 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien
|wiki= Wicri/Sante
|area= LymphedemaV1
|flux= PubMed
|étape= Corpus
|type= RBID
|clé= pubmed:10748895
|texte= Mapping and estimating the population at risk from lymphatic filariasis in Africa.
}}
Pour générer des pages wiki
HfdIndexSelect -h $EXPLOR_AREA/Data/PubMed/Corpus/RBID.i -Sk "pubmed:10748895" \
| HfdSelect -Kh $EXPLOR_AREA/Data/PubMed/Corpus/biblio.hfd \
| NlmPubMed2Wicri -a LymphedemaV1
| This area was generated with Dilib version V0.6.31. |  |