Geographical information system and predictive risk maps of urinary schistosomiasis in Ogun State, Nigeria.
Identifieur interne : 000329 ( PubMed/Corpus ); précédent : 000328; suivant : 000330Geographical information system and predictive risk maps of urinary schistosomiasis in Ogun State, Nigeria.
Auteurs : Uwem F. Ekpo ; Chiedu F. Mafiana ; Clement O. Adeofun ; Adewale Rt Solarin ; Adewumi B. IdowuSource :
- BMC infectious diseases [ 1471-2334 ] ; 2008.
English descriptors
- KwdEn :
- Adolescent, Animals, Child, Child, Preschool, Disease Vectors, Environment, Geographic Information Systems, Humans, Logistic Models, Nigeria (epidemiology), Prevalence, Risk Assessment, Schistosoma haematobium (pathogenicity), Schistosomiasis haematobia (epidemiology), Schistosomiasis haematobia (parasitology), Surveys and Questionnaires.
- MESH :
- geographic , epidemiology : Nigeria.
- epidemiology : Schistosomiasis haematobia.
- parasitology : Schistosomiasis haematobia.
- pathogenicity : Schistosoma haematobium.
- Adolescent, Animals, Child, Child, Preschool, Disease Vectors, Environment, Geographic Information Systems, Humans, Logistic Models, Prevalence, Risk Assessment, Surveys and Questionnaires.
Abstract
The control of urinary schistosomiasis in Ogun State, Nigeria remains inert due to lack of reliable data on the geographical distribution of the disease and the population at risk. To help in developing a control programme, delineating areas of risk, geographical information system and remotely sensed environmental images were used to developed predictive risk maps of the probability of occurrence of the disease and quantify the risk for infection in Ogun State, Nigeria.
DOI: 10.1186/1471-2334-8-74
PubMed: 18513442
Links to Exploration step
pubmed:18513442Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Geographical information system and predictive risk maps of urinary schistosomiasis in Ogun State, Nigeria.</title><author><name sortKey="Ekpo, Uwem F" sort="Ekpo, Uwem F" uniqKey="Ekpo U" first="Uwem F" last="Ekpo">Uwem F. Ekpo</name><affiliation><nlm:affiliation>Department of Biological Sciences, University of Agriculture, 110001, Abeokuta, Nigeria. ufekpo@hotmail.com</nlm:affiliation></affiliation></author><author><name sortKey="Mafiana, Chiedu F" sort="Mafiana, Chiedu F" uniqKey="Mafiana C" first="Chiedu F" last="Mafiana">Chiedu F. Mafiana</name></author><author><name sortKey="Adeofun, Clement O" sort="Adeofun, Clement O" uniqKey="Adeofun C" first="Clement O" last="Adeofun">Clement O. Adeofun</name></author><author><name sortKey="Solarin, Adewale Rt" sort="Solarin, Adewale Rt" uniqKey="Solarin A" first="Adewale Rt" last="Solarin">Adewale Rt Solarin</name></author><author><name sortKey="Idowu, Adewumi B" sort="Idowu, Adewumi B" uniqKey="Idowu A" first="Adewumi B" last="Idowu">Adewumi B. Idowu</name></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2008">2008</date><idno type="RBID">pubmed:18513442</idno><idno type="pmid">18513442</idno><idno type="doi">10.1186/1471-2334-8-74</idno><idno type="wicri:Area/PubMed/Corpus">000329</idno><idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Corpus" wicri:corpus="PubMed">000329</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Geographical information system and predictive risk maps of urinary schistosomiasis in Ogun State, Nigeria.</title><author><name sortKey="Ekpo, Uwem F" sort="Ekpo, Uwem F" uniqKey="Ekpo U" first="Uwem F" last="Ekpo">Uwem F. Ekpo</name><affiliation><nlm:affiliation>Department of Biological Sciences, University of Agriculture, 110001, Abeokuta, Nigeria. ufekpo@hotmail.com</nlm:affiliation></affiliation></author><author><name sortKey="Mafiana, Chiedu F" sort="Mafiana, Chiedu F" uniqKey="Mafiana C" first="Chiedu F" last="Mafiana">Chiedu F. Mafiana</name></author><author><name sortKey="Adeofun, Clement O" sort="Adeofun, Clement O" uniqKey="Adeofun C" first="Clement O" last="Adeofun">Clement O. Adeofun</name></author><author><name sortKey="Solarin, Adewale Rt" sort="Solarin, Adewale Rt" uniqKey="Solarin A" first="Adewale Rt" last="Solarin">Adewale Rt Solarin</name></author><author><name sortKey="Idowu, Adewumi B" sort="Idowu, Adewumi B" uniqKey="Idowu A" first="Adewumi B" last="Idowu">Adewumi B. Idowu</name></author></analytic><series><title level="j">BMC infectious diseases</title><idno type="eISSN">1471-2334</idno><imprint><date when="2008" type="published">2008</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Adolescent</term><term>Animals</term><term>Child</term><term>Child, Preschool</term><term>Disease Vectors</term><term>Environment</term><term>Geographic Information Systems</term><term>Humans</term><term>Logistic Models</term><term>Nigeria (epidemiology)</term><term>Prevalence</term><term>Risk Assessment</term><term>Schistosoma haematobium (pathogenicity)</term><term>Schistosomiasis haematobia (epidemiology)</term><term>Schistosomiasis haematobia (parasitology)</term><term>Surveys and Questionnaires</term></keywords><keywords scheme="MESH" type="geographic" qualifier="epidemiology" xml:lang="en"><term>Nigeria</term></keywords><keywords scheme="MESH" qualifier="epidemiology" xml:lang="en"><term>Schistosomiasis haematobia</term></keywords><keywords scheme="MESH" qualifier="parasitology" xml:lang="en"><term>Schistosomiasis haematobia</term></keywords><keywords scheme="MESH" qualifier="pathogenicity" xml:lang="en"><term>Schistosoma haematobium</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Adolescent</term><term>Animals</term><term>Child</term><term>Child, Preschool</term><term>Disease Vectors</term><term>Environment</term><term>Geographic Information Systems</term><term>Humans</term><term>Logistic Models</term><term>Prevalence</term><term>Risk Assessment</term><term>Surveys and Questionnaires</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">The control of urinary schistosomiasis in Ogun State, Nigeria remains inert due to lack of reliable data on the geographical distribution of the disease and the population at risk. To help in developing a control programme, delineating areas of risk, geographical information system and remotely sensed environmental images were used to developed predictive risk maps of the probability of occurrence of the disease and quantify the risk for infection in Ogun State, Nigeria.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">18513442</PMID><DateCreated><Year>2008</Year><Month>06</Month><Day>25</Day></DateCreated><DateCompleted><Year>2008</Year><Month>08</Month><Day>13</Day></DateCompleted><DateRevised><Year>2017</Year><Month>02</Month><Day>20</Day></DateRevised><Article PubModel="Electronic"><Journal><ISSN IssnType="Electronic">1471-2334</ISSN><JournalIssue CitedMedium="Internet"><Volume>8</Volume><PubDate><Year>2008</Year><Month>May</Month><Day>31</Day></PubDate></JournalIssue><Title>BMC infectious diseases</Title><ISOAbbreviation>BMC Infect. Dis.</ISOAbbreviation></Journal><ArticleTitle>Geographical information system and predictive risk maps of urinary schistosomiasis in Ogun State, Nigeria.</ArticleTitle><Pagination><MedlinePgn>74</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1186/1471-2334-8-74</ELocationID><Abstract><AbstractText Label="BACKGROUND" NlmCategory="BACKGROUND">The control of urinary schistosomiasis in Ogun State, Nigeria remains inert due to lack of reliable data on the geographical distribution of the disease and the population at risk. To help in developing a control programme, delineating areas of risk, geographical information system and remotely sensed environmental images were used to developed predictive risk maps of the probability of occurrence of the disease and quantify the risk for infection in Ogun State, Nigeria.</AbstractText><AbstractText Label="METHODS" NlmCategory="METHODS">Infection data used were derived from carefully validated morbidity questionnaires among primary school children in 2001-2002, in which school children were asked among other questions if they have experienced "blood in urine" or urinary schistosomiasis. The infection data from 1,092 schools together with remotely sensed environmental data such as rainfall, vegetation, temperature, soil-types, altitude and land cover were analysis using binary logistic regression models to identify environmental features that influence the spatial distribution of the disease. The final regression equations were then used in Arc View 3.2a GIS software to generate predictive risk maps of the distribution of the disease and population at risk in the state.</AbstractText><AbstractText Label="RESULTS" NlmCategory="RESULTS">Logistic regression analysis shows that the only significant environmental variable in predicting the presence and absence of urinary schistosomiasis in any area of the State was Land Surface Temperature (LST) (B = 0.308, p = 0.013). While LST (B = -0.478, p = 0.035), rainfall (B = -0.006, p = 0.0005), ferric luvisols (B = 0.539, p = 0.274), dystric nitosols (B = 0.133, p = 0.769) and pellic vertisols (B = 1.386, p = 0.008) soils types were the final variables in the model for predicting the probability of an area having an infection prevalence equivalent to or more than 50%. The two predictive risk maps suggest that urinary schistosomiasis is widely distributed and occurring in all the Local Government Areas (LGAs) in State. The high-risk areas (>/= 50% prevalence) however, are confined to scatter foci in the north western part of the State. The model also estimated that 98.99% of schools aged children (5-14 years) are living in areas suitable for urinary schistosomiasis transmission and are at risk of infection.</AbstractText><AbstractText Label="CONCLUSION" NlmCategory="CONCLUSIONS">The risk maps developed will hopefully be useful to the state health officials, by providing them with detailed distribution of urinary schistosomiasis, help to delineate areas for intervention, assesses population at risk thereby helping in optimizing scarce resources.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Ekpo</LastName><ForeName>Uwem F</ForeName><Initials>UF</Initials><AffiliationInfo><Affiliation>Department of Biological Sciences, University of Agriculture, 110001, Abeokuta, Nigeria. ufekpo@hotmail.com</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Mafiana</LastName><ForeName>Chiedu F</ForeName><Initials>CF</Initials></Author><Author ValidYN="Y"><LastName>Adeofun</LastName><ForeName>Clement O</ForeName><Initials>CO</Initials></Author><Author ValidYN="Y"><LastName>Solarin</LastName><ForeName>Adewale Rt</ForeName><Initials>AR</Initials></Author><Author ValidYN="Y"><LastName>Idowu</LastName><ForeName>Adewumi B</ForeName><Initials>AB</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>2008</Year><Month>05</Month><Day>31</Day></ArticleDate></Article><MedlineJournalInfo><Country>England</Country><MedlineTA>BMC Infect Dis</MedlineTA><NlmUniqueID>100968551</NlmUniqueID><ISSNLinking>1471-2334</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><CommentsCorrectionsList><CommentsCorrections RefType="Cites"><RefSource>Acta Trop. 2002 May;82(2):207-14</RefSource><PMID 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Version="1">14511560</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Adv Parasitol. 2000;47:1-35</RefSource><PMID Version="1">10997203</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>J Helminthol. 1991 Jun;65(2):95-102</RefSource><PMID Version="1">1880390</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Acta Trop. 2001 Apr 27;79(1):13-20</RefSource><PMID Version="1">11378138</PMID></CommentsCorrections></CommentsCorrectionsList><MeshHeadingList><MeshHeading><DescriptorName UI="D000293" MajorTopicYN="N">Adolescent</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000818" MajorTopicYN="N">Animals</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D002648" MajorTopicYN="N">Child</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D002675" MajorTopicYN="N">Child, Preschool</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D004199" MajorTopicYN="N">Disease 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MajorTopicYN="N">pathogenicity</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D012553" MajorTopicYN="N">Schistosomiasis haematobia</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="Y">epidemiology</QualifierName><QualifierName UI="Q000469" MajorTopicYN="N">parasitology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D011795" MajorTopicYN="N">Surveys and Questionnaires</DescriptorName></MeshHeading></MeshHeadingList><OtherID Source="NLM">PMC2438363</OtherID></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2007</Year><Month>11</Month><Day>10</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2008</Year><Month>05</Month><Day>31</Day></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2008</Year><Month>6</Month><Day>3</Day><Hour>9</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate 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