Influencing public health policy with data-informed mathematical models of infectious diseases: Recent developments and new challenges

Influencing public health policy with data-informed mathematical models of infectious diseases: Recent developments and new challenges

Modern data and computational resources, coupled with algorithmic and theoretical advances to exploit these, allow disease dynamic models to be parameterised with increasing detail and accuracy. While this enhances models’ usefulness in prediction and policy, major challenges remain. In particular,...

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Bibliographic Details
Main Authors: Amani Alahmadi, Sarah Belet, Andrew Black, Deborah Cromer, Jennifer A. Flegg, Thomas House, Pavithra Jayasundara, Jonathan M. Keith, James M. McCaw, Robert Moss, Joshua V. Ross, Freya M. Shearer, Sai Thein Than Tun, James Walker, Lisa White, Jason M. Whyte, Ada W.C. Yan, Alexander E. Zarebski
Format: Article
Language:English
Published: Elsevier 2020-09-01
Series:Epidemics
Subjects:
Parameter identifiability
Data challenges
Computational methodology
Prior knowledge
Policy and communication
Bayesian analysis
Online Access:http://www.sciencedirect.com/science/article/pii/S1755436520300207

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http://www.sciencedirect.com/science/article/pii/S1755436520300207

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