A Bayesian spatio-temporal model for forecasting the prevalence of antibodies to Borrelia burgdorferi, causative agent of Lyme disease, in domestic dogs within the contiguous United States

This paper models the prevalence of antibodies to Borrelia burgdorferi in domestic dogs in the United States using climate, geographic, and societal factors. We then use this model to forecast the prevalence of antibodies to B. burgdorferi in dogs for 2016. The data available for this study consists...

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Detalhes bibliográficos
Publicado no:PLoS One
Main Authors: Watson, Stella C., Liu, Yan, Lund, Robert B., Gettings, Jenna R., Nordone, Shila K., McMahan, Christopher S., Yabsley, Michael J.
Formato: Artigo
Idioma:Inglês
Publicado em: Public Library of Science 2017
Assuntos:
Research Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC5417420/
https://ncbi.nlm.nih.gov/pubmed/28472096
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0174428
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