Seasonal and spatial heterogeneities in host and vector abundances impact the spatiotemporal spread of bluetongue
SEEGERS, Henry
École nationale vétérinaire, agroalimentaire et de l'alimentation Nantes-Atlantique [ONIRIS]
École nationale vétérinaire, agroalimentaire et de l'alimentation Nantes-Atlantique [ONIRIS]
EZANNO, Pauline
École nationale vétérinaire, agroalimentaire et de l'alimentation Nantes-Atlantique [ONIRIS]
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École nationale vétérinaire, agroalimentaire et de l'alimentation Nantes-Atlantique [ONIRIS]
Langue
en
Article de revue
Ce document a été publié dans
BMC Veterinary Research. 2013, vol. 44, n° 1, p. 1-12
BioMed Central
Résumé en anglais
Bluetongue (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 ...Lire la suite >
Bluetongue (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.< Réduire
Mots clés en anglais
BTV8
epidemiology
vector-borne disease
mathematical modelling
diffusion
spatial
seasonality
Origine
Importé de halUnités de recherche