Journal article

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

Amani Alahmadi, Sarah Belet, Andrew Black, Deborah Cromer, Jennifer A Flegg, Thomas House, Pavithra Jayasundara, Jonathan M Keith, James M McCaw, Robert Moss, Joshua Ross, Freya M Shearer, Thein Than Tun Sai, James Walker, Lisa White, Jason M Whyte, Ada WC Yan, Alexander E Zarebski

EPIDEMICS | ELSEVIER | Published : 2020


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, lack of identifiability of a model's parameters may limit the usefulness of the model. While lack of parameter identifiability may be resolved through incorporation into an inference procedure of prior knowledge, formulating such knowledge is often difficult. Furthermore, there are practical challenges associated with acquiring data of sufficient quantity and quality. Here, we discuss recent progr..

View full abstract