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Mathematical epidemiology in a data-rich world

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摘要 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.
作者 Julien Arino
出处 《Infectious Disease Modelling》 2020年第1期161-188,共28页 传染病建模(英文)
基金 My work is partially funded by NSERC.Various funders supported the Bio.Diaspora Project,but the most important support for ideas presented here was a 2013e2015 CIHR/NSERC Collaborative Health Research Projects grant,Protecting Canadian Health,Security,and Prosperity through the Novel Integration of Global Epidemic Surveillance and Risk Modelling Technologies,that I held jointly with K.Khan(St Michael’s Hospital&Bluedot,Toronto).
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