@article{fdi:010075639,
  title = {{M}acroecology of birds potentially susceptible to {W}est {N}ile virus},
  author = {{T}olsa, {M}. {J}. and {G}arcia-{P}ena, {G}. {E}. and {R}ico-{C}havez, {O}. and {R}oche, {B}enjamin and {S}uzan, {G}.},
  editor = {},
  language = {{ENG}},
  abstract = {{Z}oonotic diseases transmitted by wildlife affect biological conservation, public and animal health, and the economy. {C}urrent research efforts are aimed at finding wildlife pathogens at a given location. {H}owever, a meta-analytical approach may reveal emerging macroecological patterns in the host-pathogen relationship at different temporal and spatial scales. {W}est {N}ile virus ({WNV}) is a pathogen with worldwide detrimental impacts on bird populations. {T}o 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. {W}e performed a quantitative review of field studies on birds sampled for {WNV}. {W}e obtained 4945 observations of 949 species from 39 countries. {O}ur analysis supported the idea that {MP} and {M} are good predictors of reservoir competence, and allowed us to identify potential competent reservoirs. {F}urthermore, 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.},
  keywords = {{W}est {N}ile {V}irus ; birds ; susceptibility ; reservoir competence index ; macroecology},
  booktitle = {},
  journal = {{P}roceedings of the {R}oyal {S}ociety {B} : {B}iological {S}ciences},
  volume = {285},
  numero = {1893},
  pages = {art. 20182178 [10 p.]},
  ISSN = {0962-8452},
  year = {2018},
  DOI = {10.1098/rspb.2018.2178},
  URL = {https://www.documentation.ird.fr/hor/fdi:010075639},
}