%0 Journal Article
%9 ACL : Articles dans des revues avec comité de lecture répertoriées par l'AERES
%A Tolsa, M. J.
%A Garcia-Pena, G. E.
%A Rico-Chavez, O.
%A Roche, Benjamin
%A Suzan, G.
%T Macroecology of birds potentially susceptible to West Nile virus
%D 2018
%L fdi:010075639
%G ENG
%J Proceedings of the Royal Society B : Biological Sciences
%@ 0962-8452
%K West Nile Virus ; birds ; susceptibility ; reservoir competence index ; macroecology
%M ISI:000465428300010
%N 1893
%P art. 20182178 [10 ]
%R 10.1098/rspb.2018.2178
%U https://www.documentation.ird.fr/hor/fdi:010075639
%> https://www.documentation.ird.fr/intranet/publi/2019/05/010075639.pdf
%V 285
%W Horizon (IRD)
%X Zoonotic diseases transmitted by wildlife affect biological conservation, public and animal health, and the economy. Current research efforts are aimed at finding wildlife pathogens at a given location. However, a meta-analytical approach may reveal emerging macroecological patterns in the host-pathogen relationship at different temporal and spatial scales. West Nile virus (WNV) is a pathogen with worldwide detrimental impacts on bird populations. To understand macroecological patterns driving WNV infection, we aimed to recognize unknown competent reservoirs using three disease metrics-serological prevalence (SP), molecular prevalence (MP) and mortality (M)-and test if these metrics are correlated with the evolutionary history, geographical origin of bird species, viral strain, time-space and methodology. We performed a quantitative review of field studies on birds sampled for WNV. We obtained 4945 observations of 949 species from 39 countries. Our analysis supported the idea that MP and M are good predictors of reservoir competence, and allowed us to identify potential competent reservoirs. Furthermore, results indicated that the variability of these metrics was attributable to phylogeny, time-space and sample size. A macroecological approach is needed to recognize susceptible species and competent reservoirs, and to identify other factors driving zoonotic diseases originating from wildlife.
%$ 052 ; 080 ; 020