1. A case for ongoing structural support to maximise infectious disease modelling efficiency for future public health emergencies: A modelling perspective.
- Author
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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, and Penny MA
- Subjects
- Humans, Public Health, Emergencies, SARS-CoV-2, COVID-19 epidemiology, Communicable Diseases epidemiology
- 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., Competing Interests: Declaration of Competing Interest None, the authors have no relevant financial or non-financial interests to disclose., (Copyright © 2023 The Authors. Published by Elsevier B.V. All rights reserved.)
- Published
- 2024
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