A case for ongoing structural support to maximise infectious disease modelling efficiency for future public health emergencies: A modelling perspective.
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Le Rutte EA, Shattock AJ, Zhao C, Jagadesh S, Balać M, Müller SA, Nagel K, Erath AL, Axhausen KW, Van Boeckel TP, Penny MA
Epidemics 46 (-) 100734 [2023-12-13; online 2023-12-13]
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.
PubMed 38118273
DOI 10.1016/j.epidem.2023.100734
Crossref 10.1016/j.epidem.2023.100734
pii: S1755-4365(23)00070-1