Cutaneous leishmaniasis prevalence and morbidity based on environmental factors in Ilam, Iran: Spatial analysis and land use regression models.
Identifieur interne : 000670 ( Ncbi/Merge ); précédent : 000669; suivant : 000671Cutaneous leishmaniasis prevalence and morbidity based on environmental factors in Ilam, Iran: Spatial analysis and land use regression models.
Auteurs : Mehdi Mokhtari [Iran] ; Mohammad Miri [Iran] ; Ali Nikoonahad [Iran] ; Ali Jalilian [Iran] ; Razi Naserifar [Iran] ; Hamid Reza Ghaffari [Iran] ; Farogh Kazembeigi [Iran]Source :
- Acta tropica [ 1873-6254 ] ; 2016.
English descriptors
- KwdEn :
- Agriculture (statistics & numerical data), Altitude, Cities, Environment, Forests, Geographic Information Systems, Humans, Iran (epidemiology), Iraq, Leishmaniasis, Cutaneous (epidemiology), Poisson Distribution, Prevalence, Rain, Regression Analysis, Risk Factors, Soil, Spatial Analysis, Temperature.
- MESH :
- chemical : Soil.
- epidemiology : Iran, Leishmaniasis, Cutaneous.
- statistics & numerical data : Agriculture.
- Altitude, Cities, Environment, Forests, Geographic Information Systems, Humans, Iraq, Poisson Distribution, Prevalence, Rain, Regression Analysis, Risk Factors, Spatial Analysis, Temperature.
Abstract
The aim of this study was to investigate the impact of the environmental factors on cutaneous leishmaniasis (CL) prevalence and morbidity in Ilam province, western Iran, as a known endemic area for this disease. Accurate locations of 3237 CL patients diagnosed from 2013 to 2015, their demographic information, and data of 17 potentially predictive environmental variables (PPEVs) were prepared to be used in Geographic Information System (GIS) and Land-Use Regression (LUR) analysis. The prevalence, risk, and predictive risk maps were provided using Inverse Distance Weighting (IDW) model in GIS software. Regression analysis was used to determine how environmental variables affect on CL prevalence. All maps and regression models were developed based on the annual and three-year average of the CL prevalence. The results showed that there was statistically significant relationship (P value≤0.05) between CL prevalence and 11 (64%) PPEVs which were elevation, population, rainfall, temperature, urban land use, poorland, dry farming, inceptisol and aridisol soils, and forest and irrigated lands. The highest probability of the CL prevalence was predicted in the west of the study area and frontier with Iraq. An inverse relationship was found between CL prevalence and environmental factors, including elevation, covering soil, rainfall, agricultural irrigation, and elevation while this relation was positive for temperature, urban land use, and population density. Environmental factors were found to be an important predictive variables for CL prevalence and should be considered in management strategies for CL control.
DOI: 10.1016/j.actatropica.2016.08.002
PubMed: 27496622
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Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.</nlm:affiliation><country xml:lang="fr">Iran</country><wicri:regionArea>Social Determinants in Health Promotion Research Center, Hormozgan University of Medical Sciences, Bandar Abbas, Iran; Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran</wicri:regionArea><wicri:noRegion>Tehran</wicri:noRegion></affiliation></author><author><name sortKey="Kazembeigi, Farogh" sort="Kazembeigi, Farogh" uniqKey="Kazembeigi F" first="Farogh" last="Kazembeigi">Farogh Kazembeigi</name><affiliation wicri:level="1"><nlm:affiliation>Department of Environmental Health Engineering, School of Health, Ilam University of Medical Sciences, Ilam, Iran.</nlm:affiliation><country xml:lang="fr">Iran</country><wicri:regionArea>Department of Environmental Health Engineering, School of Health, Ilam University of Medical Sciences, Ilam</wicri:regionArea><wicri:noRegion>Ilam</wicri:noRegion></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2016">2016</date><idno type="RBID">pubmed:27496622</idno><idno type="pmid">27496622</idno><idno type="doi">10.1016/j.actatropica.2016.08.002</idno><idno type="wicri:Area/PubMed/Corpus">000008</idno><idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Corpus" wicri:corpus="PubMed">000008</idno><idno type="wicri:Area/PubMed/Curation">000008</idno><idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Curation">000008</idno><idno type="wicri:Area/PubMed/Checkpoint">000008</idno><idno type="wicri:explorRef" wicri:stream="Checkpoint" wicri:step="PubMed">000008</idno><idno type="wicri:Area/Ncbi/Merge">000670</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Cutaneous leishmaniasis prevalence and morbidity based on environmental factors in Ilam, Iran: Spatial analysis and land use regression models.</title><author><name sortKey="Mokhtari, Mehdi" sort="Mokhtari, Mehdi" uniqKey="Mokhtari M" first="Mehdi" last="Mokhtari">Mehdi Mokhtari</name><affiliation wicri:level="1"><nlm:affiliation>Department of Environmental Health Engineering, School of Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.</nlm:affiliation><country xml:lang="fr">Iran</country><wicri:regionArea>Department of Environmental Health Engineering, School of Health, Shahid Sadoughi University of Medical Sciences, Yazd</wicri:regionArea><wicri:noRegion>Yazd</wicri:noRegion></affiliation></author><author><name sortKey="Miri, Mohammad" sort="Miri, Mohammad" uniqKey="Miri M" first="Mohammad" last="Miri">Mohammad Miri</name><affiliation wicri:level="1"><nlm:affiliation>Department of Environmental Health Engineering, School of Public Health, Sabzevar University of Medical Sciences, Sabzevar, Iran.</nlm:affiliation><country xml:lang="fr">Iran</country><wicri:regionArea>Department of Environmental Health Engineering, School of Public Health, Sabzevar University of Medical Sciences, Sabzevar</wicri:regionArea><wicri:noRegion>Sabzevar</wicri:noRegion></affiliation></author><author><name sortKey="Nikoonahad, Ali" sort="Nikoonahad, Ali" uniqKey="Nikoonahad A" first="Ali" last="Nikoonahad">Ali Nikoonahad</name><affiliation wicri:level="1"><nlm:affiliation>Department of Environmental Health Engineering, School of Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran; Department of Environmental Health Engineering, School of Health, Ilam University of Medical Sciences, Ilam, Iran. Electronic address: nikoonahad_ali_n@yahoo.com.</nlm:affiliation><country xml:lang="fr">Iran</country><wicri:regionArea>Department of Environmental Health Engineering, School of Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran; Department of Environmental Health Engineering, School of Health, Ilam University of Medical Sciences, Ilam</wicri:regionArea><wicri:noRegion>Ilam</wicri:noRegion></affiliation></author><author><name sortKey="Jalilian, Ali" sort="Jalilian, Ali" uniqKey="Jalilian A" first="Ali" last="Jalilian">Ali Jalilian</name><affiliation wicri:level="1"><nlm:affiliation>Department of Environmental Health Engineering, School of Health, Ilam University of Medical Sciences, Ilam, Iran.</nlm:affiliation><country xml:lang="fr">Iran</country><wicri:regionArea>Department of Environmental Health Engineering, School of Health, Ilam University of Medical Sciences, Ilam</wicri:regionArea><wicri:noRegion>Ilam</wicri:noRegion></affiliation></author><author><name sortKey="Naserifar, Razi" sort="Naserifar, Razi" uniqKey="Naserifar R" first="Razi" last="Naserifar">Razi Naserifar</name><affiliation wicri:level="1"><nlm:affiliation>Vice-Chancellor for Health, Ilam University of Medical Science, Ilam, Iran.</nlm:affiliation><country xml:lang="fr">Iran</country><wicri:regionArea>Vice-Chancellor for Health, Ilam University of Medical Science, Ilam</wicri:regionArea><wicri:noRegion>Ilam</wicri:noRegion></affiliation></author><author><name sortKey="Ghaffari, Hamid Reza" sort="Ghaffari, Hamid Reza" uniqKey="Ghaffari H" first="Hamid Reza" last="Ghaffari">Hamid Reza Ghaffari</name><affiliation wicri:level="1"><nlm:affiliation>Social Determinants in Health Promotion Research Center, Hormozgan University of Medical Sciences, Bandar Abbas, Iran; Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.</nlm:affiliation><country xml:lang="fr">Iran</country><wicri:regionArea>Social Determinants in Health Promotion Research Center, Hormozgan University of Medical Sciences, Bandar Abbas, Iran; Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran</wicri:regionArea><wicri:noRegion>Tehran</wicri:noRegion></affiliation></author><author><name sortKey="Kazembeigi, Farogh" sort="Kazembeigi, Farogh" uniqKey="Kazembeigi F" first="Farogh" last="Kazembeigi">Farogh Kazembeigi</name><affiliation wicri:level="1"><nlm:affiliation>Department of Environmental Health Engineering, School of Health, Ilam University of Medical Sciences, Ilam, Iran.</nlm:affiliation><country xml:lang="fr">Iran</country><wicri:regionArea>Department of Environmental Health Engineering, School of Health, Ilam University of Medical Sciences, Ilam</wicri:regionArea><wicri:noRegion>Ilam</wicri:noRegion></affiliation></author></analytic><series><title level="j">Acta tropica</title><idno type="eISSN">1873-6254</idno><imprint><date when="2016" type="published">2016</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Agriculture (statistics & numerical data)</term><term>Altitude</term><term>Cities</term><term>Environment</term><term>Forests</term><term>Geographic Information Systems</term><term>Humans</term><term>Iran (epidemiology)</term><term>Iraq</term><term>Leishmaniasis, Cutaneous (epidemiology)</term><term>Poisson Distribution</term><term>Prevalence</term><term>Rain</term><term>Regression Analysis</term><term>Risk Factors</term><term>Soil</term><term>Spatial Analysis</term><term>Temperature</term></keywords><keywords scheme="MESH" type="chemical" xml:lang="en"><term>Soil</term></keywords><keywords scheme="MESH" qualifier="epidemiology" xml:lang="en"><term>Iran</term><term>Leishmaniasis, Cutaneous</term></keywords><keywords scheme="MESH" qualifier="statistics & numerical data" xml:lang="en"><term>Agriculture</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Altitude</term><term>Cities</term><term>Environment</term><term>Forests</term><term>Geographic Information Systems</term><term>Humans</term><term>Iraq</term><term>Poisson Distribution</term><term>Prevalence</term><term>Rain</term><term>Regression Analysis</term><term>Risk Factors</term><term>Spatial Analysis</term><term>Temperature</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">The aim of this study was to investigate the impact of the environmental factors on cutaneous leishmaniasis (CL) prevalence and morbidity in Ilam province, western Iran, as a known endemic area for this disease. Accurate locations of 3237 CL patients diagnosed from 2013 to 2015, their demographic information, and data of 17 potentially predictive environmental variables (PPEVs) were prepared to be used in Geographic Information System (GIS) and Land-Use Regression (LUR) analysis. The prevalence, risk, and predictive risk maps were provided using Inverse Distance Weighting (IDW) model in GIS software. Regression analysis was used to determine how environmental variables affect on CL prevalence. All maps and regression models were developed based on the annual and three-year average of the CL prevalence. The results showed that there was statistically significant relationship (P value≤0.05) between CL prevalence and 11 (64%) PPEVs which were elevation, population, rainfall, temperature, urban land use, poorland, dry farming, inceptisol and aridisol soils, and forest and irrigated lands. The highest probability of the CL prevalence was predicted in the west of the study area and frontier with Iraq. An inverse relationship was found between CL prevalence and environmental factors, including elevation, covering soil, rainfall, agricultural irrigation, and elevation while this relation was positive for temperature, urban land use, and population density. Environmental factors were found to be an important predictive variables for CL prevalence and should be considered in management strategies for CL control.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">27496622</PMID><DateCreated><Year>2016</Year><Month>08</Month><Day>30</Day></DateCreated><DateCompleted><Year>2017</Year><Month>01</Month><Day>18</Day></DateCompleted><DateRevised><Year>2017</Year><Month>01</Month><Day>18</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1873-6254</ISSN><JournalIssue CitedMedium="Internet"><Volume>163</Volume><PubDate><Year>2016</Year><Month>Nov</Month></PubDate></JournalIssue><Title>Acta tropica</Title><ISOAbbreviation>Acta Trop.</ISOAbbreviation></Journal><ArticleTitle>Cutaneous leishmaniasis prevalence and morbidity based on environmental factors in Ilam, Iran: Spatial analysis and land use regression models.</ArticleTitle><Pagination><MedlinePgn>90-7</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1016/j.actatropica.2016.08.002</ELocationID><ELocationID EIdType="pii" ValidYN="Y">S0001-706X(16)30562-9</ELocationID><Abstract><AbstractText>The aim of this study was to investigate the impact of the environmental factors on cutaneous leishmaniasis (CL) prevalence and morbidity in Ilam province, western Iran, as a known endemic area for this disease. Accurate locations of 3237 CL patients diagnosed from 2013 to 2015, their demographic information, and data of 17 potentially predictive environmental variables (PPEVs) were prepared to be used in Geographic Information System (GIS) and Land-Use Regression (LUR) analysis. The prevalence, risk, and predictive risk maps were provided using Inverse Distance Weighting (IDW) model in GIS software. Regression analysis was used to determine how environmental variables affect on CL prevalence. All maps and regression models were developed based on the annual and three-year average of the CL prevalence. The results showed that there was statistically significant relationship (P value≤0.05) between CL prevalence and 11 (64%) PPEVs which were elevation, population, rainfall, temperature, urban land use, poorland, dry farming, inceptisol and aridisol soils, and forest and irrigated lands. The highest probability of the CL prevalence was predicted in the west of the study area and frontier with Iraq. An inverse relationship was found between CL prevalence and environmental factors, including elevation, covering soil, rainfall, agricultural irrigation, and elevation while this relation was positive for temperature, urban land use, and population density. Environmental factors were found to be an important predictive variables for CL prevalence and should be considered in management strategies for CL control.</AbstractText><CopyrightInformation>Copyright © 2016 Elsevier B.V. All rights reserved.</CopyrightInformation></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Mokhtari</LastName><ForeName>Mehdi</ForeName><Initials>M</Initials><AffiliationInfo><Affiliation>Department of Environmental Health Engineering, School of Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Miri</LastName><ForeName>Mohammad</ForeName><Initials>M</Initials><AffiliationInfo><Affiliation>Department of Environmental Health Engineering, School of Public Health, Sabzevar University of Medical Sciences, Sabzevar, Iran.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Nikoonahad</LastName><ForeName>Ali</ForeName><Initials>A</Initials><AffiliationInfo><Affiliation>Department of Environmental Health Engineering, School of Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran; Department of Environmental Health Engineering, School of Health, Ilam University of Medical Sciences, Ilam, Iran. Electronic address: nikoonahad_ali_n@yahoo.com.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Jalilian</LastName><ForeName>Ali</ForeName><Initials>A</Initials><AffiliationInfo><Affiliation>Department of Environmental Health Engineering, School of Health, Ilam University of Medical Sciences, Ilam, Iran.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Naserifar</LastName><ForeName>Razi</ForeName><Initials>R</Initials><AffiliationInfo><Affiliation>Vice-Chancellor for Health, Ilam University of Medical Science, Ilam, Iran.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Ghaffari</LastName><ForeName>Hamid Reza</ForeName><Initials>HR</Initials><AffiliationInfo><Affiliation>Social Determinants in Health Promotion Research Center, Hormozgan University of Medical Sciences, Bandar Abbas, Iran; Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Kazembeigi</LastName><ForeName>Farogh</ForeName><Initials>F</Initials><AffiliationInfo><Affiliation>Department of Environmental Health Engineering, School of Health, Ilam University of Medical Sciences, Ilam, Iran.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2016</Year><Month>08</Month><Day>03</Day></ArticleDate></Article><MedlineJournalInfo><Country>Netherlands</Country><MedlineTA>Acta Trop</MedlineTA><NlmUniqueID>0370374</NlmUniqueID><ISSNLinking>0001-706X</ISSNLinking></MedlineJournalInfo><ChemicalList><Chemical><RegistryNumber>0</RegistryNumber><NameOfSubstance UI="D012987">Soil</NameOfSubstance></Chemical></ChemicalList><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D000383" MajorTopicYN="N">Agriculture</DescriptorName><QualifierName UI="Q000706" MajorTopicYN="N">statistics & numerical data</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D000531" MajorTopicYN="N">Altitude</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D002947" MajorTopicYN="N">Cities</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D004777" MajorTopicYN="N">Environment</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D065928" MajorTopicYN="N">Forests</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D040362" MajorTopicYN="N">Geographic Information Systems</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D007492" MajorTopicYN="N">Iran</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D007493" MajorTopicYN="N">Iraq</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D016773" MajorTopicYN="N">Leishmaniasis, Cutaneous</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="Y">epidemiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D016012" MajorTopicYN="N">Poisson Distribution</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D015995" MajorTopicYN="N">Prevalence</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D011891" MajorTopicYN="N">Rain</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D012044" MajorTopicYN="N">Regression Analysis</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D012307" MajorTopicYN="N">Risk Factors</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D012987" MajorTopicYN="N">Soil</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D062206" MajorTopicYN="N">Spatial Analysis</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D013696" MajorTopicYN="N">Temperature</DescriptorName></MeshHeading></MeshHeadingList><KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="N">Cutaneous leishmaniasis</Keyword><Keyword MajorTopicYN="N">Environmental variable</Keyword><Keyword MajorTopicYN="N">GIS</Keyword><Keyword MajorTopicYN="N">LUR</Keyword><Keyword MajorTopicYN="N">Spatial analysis</Keyword></KeywordList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2015</Year><Month>12</Month><Day>31</Day></PubMedPubDate><PubMedPubDate PubStatus="revised"><Year>2016</Year><Month>07</Month><Day>09</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2016</Year><Month>08</Month><Day>02</Day></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2016</Year><Month>8</Month><Day>7</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2016</Year><Month>8</Month><Day>9</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2017</Year><Month>1</Month><Day>19</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">27496622</ArticleId><ArticleId IdType="pii">S0001-706X(16)30562-9</ArticleId><ArticleId IdType="doi">10.1016/j.actatropica.2016.08.002</ArticleId></ArticleIdList></PubmedData></pubmed><affiliations><list><country><li>Iran</li></country></list><tree><country name="Iran"><noRegion><name sortKey="Mokhtari, Mehdi" sort="Mokhtari, Mehdi" uniqKey="Mokhtari M" first="Mehdi" last="Mokhtari">Mehdi Mokhtari</name></noRegion><name sortKey="Ghaffari, Hamid Reza" sort="Ghaffari, Hamid Reza" uniqKey="Ghaffari H" first="Hamid Reza" last="Ghaffari">Hamid Reza Ghaffari</name><name sortKey="Jalilian, Ali" sort="Jalilian, Ali" uniqKey="Jalilian A" first="Ali" last="Jalilian">Ali Jalilian</name><name sortKey="Kazembeigi, Farogh" sort="Kazembeigi, Farogh" uniqKey="Kazembeigi F" first="Farogh" last="Kazembeigi">Farogh Kazembeigi</name><name sortKey="Miri, Mohammad" sort="Miri, Mohammad" uniqKey="Miri M" first="Mohammad" last="Miri">Mohammad Miri</name><name sortKey="Naserifar, Razi" sort="Naserifar, Razi" uniqKey="Naserifar R" first="Razi" last="Naserifar">Razi Naserifar</name><name sortKey="Nikoonahad, Ali" sort="Nikoonahad, Ali" uniqKey="Nikoonahad A" first="Ali" last="Nikoonahad">Ali Nikoonahad</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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