Evaluating the performance of infectious disease forecasts: A comparison of climate-driven and seasonal dengue forecasts for Mexico

Dengue viruses, which infect millions of people per year worldwide, cause large epidemics that strain healthcare systems. Despite diverse efforts to develop forecasting tools including autoregressive time series, climate-driven statistical, and mechanistic biological models, little work has been don...

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Detalles Bibliográficos
Autores principales: Johansson, Michael A., Reich, Nicholas G., Hota, Aditi, Brownstein, John S., Santillana, Mauricio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5036038/
https://www.ncbi.nlm.nih.gov/pubmed/27665707
http://dx.doi.org/10.1038/srep33707

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5036038/
https://www.ncbi.nlm.nih.gov/pubmed/27665707
http://dx.doi.org/10.1038/srep33707

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