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.

Bibliographic Details
Published in:Infectious Disease Modelling
Main Author: Julien Arino
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2020-01-01
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S246804271930048X