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

Epidemics. 2024 Mar:46:100734. doi: 10.1016/j.epidem.2023.100734. Epub 2023 Dec 13.

Abstract

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.

Keywords: COVID-19; Modelling; Pandemic; Policy; Public health emergency; SARS-CoV-2.

MeSH terms

  • COVID-19* / epidemiology
  • Communicable Diseases* / epidemiology
  • Emergencies
  • Humans
  • Public Health
  • SARS-CoV-2