Mathematical epidemiology in a data-rich world

I discuss the acquisition and use of “background” data in mathematical epidemiology models, advocating a proactive approach to the incorporation of said data. I illustrate various mechanisms for acquiring data, mainly from open data sources. I also discuss incorporating this data into models.

Detalles Bibliográficos
Autor principal: Arino, Julien
Formato: Online Artículo Texto
Lenguaje:English
Publicado: KeAi Publishing 2020
Materias:
Confronting Infectious Disease Models with Public Health Data; Edited by Prof. Michael Li, Prof. Julien Arino, Prof. Junling Ma, Prof. Zen Jin
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6962708/
https://www.ncbi.nlm.nih.gov/pubmed/31956743
http://dx.doi.org/10.1016/j.idm.2019.12.008
Descripción
Sumario:I discuss the acquisition and use of “background” data in mathematical epidemiology models, advocating a proactive approach to the incorporation of said data. I illustrate various mechanisms for acquiring data, mainly from open data sources. I also discuss incorporating this data into models.

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