A metapopulation model for chikungunya including populations mobility on a large-scale network.
Identifieur interne : 000480 ( Main/Exploration ); précédent : 000479; suivant : 000481A 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
Affiliations:
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Le document en format XML
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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><affiliations><list><country><li>France</li></country><settlement><li>Le Havre</li></settlement></list><tree><noCountry><name sortKey="Pigne, Yoann" sort="Pigne, Yoann" uniqKey="Pigne Y" first="Yoann" last="Pigné">Yoann Pigné</name></noCountry><country name="France"><noRegion><name sortKey="Moulay, Djamila" sort="Moulay, Djamila" uniqKey="Moulay D" first="Djamila" last="Moulay">Djamila Moulay</name></noRegion></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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