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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Detalles Bibliográficos
Autores principales: Watson, Stella C., Liu, Yan, Lund, Robert B., Gettings, Jenna R., Nordone, Shila K., McMahan, Christopher S., Yabsley, Michael J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5417420/
https://www.ncbi.nlm.nih.gov/pubmed/28472096
http://dx.doi.org/10.1371/journal.pone.0174428

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5417420/
https://www.ncbi.nlm.nih.gov/pubmed/28472096
http://dx.doi.org/10.1371/journal.pone.0174428

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