A mechanistic hydro-epidemiological model of liver fluke risk

The majority of existing models for predicting disease risk in response to climate change are empirical. These models exploit correlations between historical data, rather than explicitly describing relationships between cause and response variables. Therefore, they are unsuitable for capturing impac...

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Detalles Bibliográficos
Autores principales: Beltrame, Ludovica, Dunne, Toby, Vineer, Hannah Rose, Walker, Josephine G., Morgan, Eric R., Vickerman, Peter, McCann, Catherine M., Williams, Diana J. L., Wagener, Thorsten
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society 2018
Materias:
Life Sciences–Earth Science interface
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6127180/
https://www.ncbi.nlm.nih.gov/pubmed/30158179
http://dx.doi.org/10.1098/rsif.2018.0072

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6127180/
https://www.ncbi.nlm.nih.gov/pubmed/30158179
http://dx.doi.org/10.1098/rsif.2018.0072

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