A metapopulation model for chikungunya including populations mobility on a large-scale network.
Identifieur interne : 000169 ( PubMed/Curation ); précédent : 000168; suivant : 000170A metapopulation model for chikungunya including populations mobility on a large-scale network.
Auteurs : Djamila Moulay [France] ; Yoann PignéSource :
- Journal of theoretical biology [ 1095-8541 ] ; 2013.
English descriptors
- KwdEn :
- Aedes (growth & development), Aedes (physiology), Aedes (virology), Alphavirus Infections (epidemiology), Alphavirus Infections (transmission), Animals, Chikungunya Fever, Chikungunya virus, Ecosystem, Epidemics, Humans, Insect Vectors (growth & development), Insect Vectors (physiology), Insect Vectors (virology), Models, Biological, Population Density, Population Dynamics, Reunion (epidemiology), Seroepidemiologic Studies, Travel.
- MESH :
- geographic , epidemiology : Reunion.
- epidemiology : Alphavirus Infections.
- growth & development : Aedes, Insect Vectors.
- physiology : Aedes, Insect Vectors.
- transmission : Alphavirus Infections.
- virology : Aedes, Insect Vectors.
- Animals, Chikungunya Fever, Chikungunya virus, Ecosystem, Epidemics, Humans, Models, Biological, Population Density, Population Dynamics, Seroepidemiologic Studies, Travel.
Abstract
In this paper we study the influence of populations mobility on the spread of a vector-borne disease. We focus on the chikungunya epidemic event that occurred in 2005-2006 on the Réunion Island, Indian Ocean, France, and validate our models with real epidemic data from the event. We propose a metapopulation model to represent both a high-resolution patch model of the island with realistic population densities and also mobility models for humans (based on real-motion data) and mosquitoes. In this metapopulation network, two models are coupled: one for the dynamics of the mosquito population and one for the transmission of the disease. A high-resolution numerical model is created from real geographical, demographical and mobility data. The Island is modeled with an 18,000-nodes metapopulation network. Numerical results show the impact of the geographical environment and populations' mobility on the spread of the disease. The model is finally validated against real epidemic data from the Réunion event.
DOI: 10.1016/j.jtbi.2012.11.008
PubMed: 23154189
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We focus on the chikungunya epidemic event that occurred in 2005-2006 on the Réunion Island, Indian Ocean, France, and validate our models with real epidemic data from the event. We propose a metapopulation model to represent both a high-resolution patch model of the island with realistic population densities and also mobility models for humans (based on real-motion data) and mosquitoes. In this metapopulation network, two models are coupled: one for the dynamics of the mosquito population and one for the transmission of the disease. A high-resolution numerical model is created from real geographical, demographical and mobility data. The Island is modeled with an 18,000-nodes metapopulation network. Numerical results show the impact of the geographical environment and populations' mobility on the spread of the disease. The model is finally validated against real epidemic data from the Réunion event.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">23154189</PMID><DateCreated><Year>2013</Year><Month>1</Month><Day>7</Day></DateCreated><DateCompleted><Year>2013</Year><Month>06</Month><Day>06</Day></DateCompleted><DateRevised><Year>2014</Year><Month>11</Month><Day>20</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1095-8541</ISSN><JournalIssue CitedMedium="Internet"><Volume>318</Volume><PubDate><Year>2013</Year><Month>Feb</Month><Day>7</Day></PubDate></JournalIssue><Title>Journal of theoretical biology</Title><ISOAbbreviation>J. Theor. Biol.</ISOAbbreviation></Journal><ArticleTitle>A metapopulation model for chikungunya including populations mobility on a large-scale network.</ArticleTitle><Pagination><MedlinePgn>129-39</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1016/j.jtbi.2012.11.008</ELocationID><ELocationID EIdType="pii" ValidYN="Y">S0022-5193(12)00583-8</ELocationID><Abstract><AbstractText>In this paper we study the influence of populations mobility on the spread of a vector-borne disease. We focus on the chikungunya epidemic event that occurred in 2005-2006 on the Réunion Island, Indian Ocean, France, and validate our models with real epidemic data from the event. We propose a metapopulation model to represent both a high-resolution patch model of the island with realistic population densities and also mobility models for humans (based on real-motion data) and mosquitoes. In this metapopulation network, two models are coupled: one for the dynamics of the mosquito population and one for the transmission of the disease. A high-resolution numerical model is created from real geographical, demographical and mobility data. The Island is modeled with an 18,000-nodes metapopulation network. Numerical results show the impact of the geographical environment and populations' mobility on the spread of the disease. The model is finally validated against real epidemic data from the Réunion event.</AbstractText><CopyrightInformation>Copyright © 2012 Elsevier Ltd. All rights reserved.</CopyrightInformation></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Moulay</LastName><ForeName>Djamila</ForeName><Initials>D</Initials><AffiliationInfo><Affiliation>LMAH, Normandy University, Le Havre, France. djamila.moulay@univ-lehavre.fr</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Pigné</LastName><ForeName>Yoann</ForeName><Initials>Y</Initials></Author></AuthorList><Language>ENG</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType><PublicationType UI="D023361">Validation Studies</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2012</Year><Month>Nov</Month><Day>12</Day></ArticleDate></Article><MedlineJournalInfo><Country>England</Country><MedlineTA>J Theor Biol</MedlineTA><NlmUniqueID>0376342</NlmUniqueID><ISSNLinking>0022-5193</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D000330" MajorTopicYN="N">Aedes</DescriptorName><QualifierName UI="Q000254" MajorTopicYN="N">growth & development</QualifierName><QualifierName UI="Q000502" MajorTopicYN="N">physiology</QualifierName><QualifierName UI="Q000821" MajorTopicYN="N">virology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D018354" MajorTopicYN="N">Alphavirus Infections</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="Y">epidemiology</QualifierName><QualifierName UI="Q000635" MajorTopicYN="N">transmission</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D000818" MajorTopicYN="N">Animals</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D065632" MajorTopicYN="N">Chikungunya Fever</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D002646" MajorTopicYN="N">Chikungunya virus</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D017753" MajorTopicYN="N">Ecosystem</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D058872" MajorTopicYN="Y">Epidemics</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D007303" MajorTopicYN="N">Insect Vectors</DescriptorName><QualifierName UI="Q000254" MajorTopicYN="N">growth & development</QualifierName><QualifierName UI="Q000502" MajorTopicYN="N">physiology</QualifierName><QualifierName UI="Q000821" MajorTopicYN="N">virology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D008954" MajorTopicYN="Y">Models, Biological</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D011156" MajorTopicYN="N">Population Density</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D011157" MajorTopicYN="N">Population Dynamics</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D017508" MajorTopicYN="N" Type="Geographic">Reunion</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D016036" MajorTopicYN="N">Seroepidemiologic Studies</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D014195" MajorTopicYN="N">Travel</DescriptorName></MeshHeading></MeshHeadingList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2012</Year><Month>2</Month><Day>21</Day></PubMedPubDate><PubMedPubDate PubStatus="revised"><Year>2012</Year><Month>10</Month><Day>28</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2012</Year><Month>11</Month><Day>3</Day></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2012</Year><Month>11</Month><Day>17</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2012</Year><Month>11</Month><Day>17</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2013</Year><Month>6</Month><Day>7</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">23154189</ArticleId><ArticleId IdType="pii">S0022-5193(12)00583-8</ArticleId><ArticleId IdType="doi">10.1016/j.jtbi.2012.11.008</ArticleId></ArticleIdList></PubmedData></pubmed></record>Pour manipuler ce document sous Unix (Dilib)
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