A case for ongoing structural support to maximise infectious disease modelling efficiency for future public health emergencies: A modelling perspective

Elsevier, Epidemics, Volume 46, March 2024
Authors: 
Le Rutte E.A., Shattock A.J., Zhao C., Jagadesh S., Balac M., Muller S.A. et al.

This short communication reflects upon the challenges and recommendations of multiple COVID-19 modelling and data analytic groups that provided quantitative evidence to support health policy discussions in Switzerland and Germany during the SARS-CoV-2 pandemic. Capacity strengthening outside infectious disease emergencies will be required to enable an environment for a timely, efficient, and data-driven response to support decisions during any future infectious disease emergency. This will require 1) a critical mass of trained experts who continuously advance state-of-the-art methodological tools, 2) the establishment of structural liaisons amongst scientists and decision-makers, and 3) the foundation and management of data-sharing frameworks.