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hal.structure.identifierBiologie, Epidémiologie et analyse de risque en Santé Animale [BIOEPAR]
dc.contributor.authorCHARRON, Maud
hal.structure.identifierClimate and Infectious Diseases of Animals (Lucinda) Group
dc.contributor.authorKLUITERS, Georgette
hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
dc.contributor.authorLANGLAIS, Michel
hal.structure.identifierÉcole nationale vétérinaire, agroalimentaire et de l'alimentation Nantes-Atlantique [ONIRIS]
dc.contributor.authorSEEGERS, Henry
hal.structure.identifierClimate and Infectious Diseases of Animals (Lucinda) Group
dc.contributor.authorBAILYS, Matthew
hal.structure.identifierÉcole nationale vétérinaire, agroalimentaire et de l'alimentation Nantes-Atlantique [ONIRIS]
dc.contributor.authorEZANNO, Pauline
dc.date.accessioned2024-04-04T02:54:22Z
dc.date.available2024-04-04T02:54:22Z
dc.date.created2012
dc.date.issued2013
dc.identifier.issn1746-6148
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/192272
dc.description.abstractEnBluetongue (BT) can cause severe livestock losses and large direct and indirect costs for farmers. To propose targeted control strategies as alternative to massive vaccination, there is a need to better understand how BT virus spread in space and time according to local characteristics of host and vector populations. Our objective was to assess, using a modelling approach, how spatiotemporal heterogeneities in abundance and distribution of hosts and vectors impact the occurrence and amplitude of local and regional BT epidemics. We built a reaction-diffusion model accounting for the seasonality in vector abundance and the active dispersal of vectors. Because of the scale chosen, and movement restrictions imposed during epidemics, host movements and wind-induced passive vector movements were neglected. Four levels of complexity were addressed using a theoretical approach, from a homogeneous to a heterogeneous environment in abundance and distribution of hosts and vectors. These scenarios were illustrated using data on abundance and distribution of hosts and vectors in a real geographical area. We have shown that local epidemics can occur earlier and be larger in scale far from the primary case rather than close to it. Moreover, spatial heterogeneities in hosts and vectors delay the epidemic peak and decrease the infection prevalence. The results obtained on a real area confirmed those obtained on a theoretical domain. Although developed to represent BTV spatiotemporal spread, our model can be used to study other vector-borne diseases of animals with a local to regional spread by vector diffusion.
dc.language.isoen
dc.publisherBioMed Central
dc.rights.urihttp://creativecommons.org/licenses/by/
dc.subject.enBTV8
dc.subject.enepidemiology
dc.subject.envector-borne disease
dc.subject.enmathematical modelling
dc.subject.endiffusion
dc.subject.enspatial
dc.subject.enseasonality
dc.title.enSeasonal and spatial heterogeneities in host and vector abundances impact the spatiotemporal spread of bluetongue
dc.typeArticle de revue
dc.identifier.doi10.1186/1297-9716-44-44
dc.subject.halMathématiques [math]/Equations aux dérivées partielles [math.AP]
dc.subject.halSciences du Vivant [q-bio]/Santé publique et épidémiologie
bordeaux.journalBMC Veterinary Research
bordeaux.page1-12
bordeaux.volume44
bordeaux.hal.laboratoriesInstitut de Mathématiques de Bordeaux (IMB) - UMR 5251*
bordeaux.issue1
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.peerReviewedoui
hal.identifierhal-00992664
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-00992664v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=BMC%20Veterinary%20Research&rft.date=2013&rft.volume=44&rft.issue=1&rft.spage=1-12&rft.epage=1-12&rft.eissn=1746-6148&rft.issn=1746-6148&rft.au=CHARRON,%20Maud&KLUITERS,%20Georgette&LANGLAIS,%20Michel&SEEGERS,%20Henry&BAILYS,%20Matthew&rft.genre=article


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