A case for ongoing structural support to maximise infectious disease modelling efficiency for future public health emergencies
A modelling perspective
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Date
2024-03
Publication Type
Journal Article
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yes
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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.
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published
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Journal / series
Volume
46
Pages / Article No.
100734
Publisher
Elsevier
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Edition / version
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Date collected
Date created
Subject
Public health emergency; Modelling; COVID-19; SARS-CoV-2; Pandemic; Policy
Organisational unit
03521 - Axhausen, Kay W. (emeritus) / Axhausen, Kay W. (emeritus)
03584 - Bonhoeffer, Sebastian / Bonhoeffer, Sebastian
02655 - Netzwerk Stadt u. Landschaft ARCH u BAUG / Network City and Landscape ARCH and BAUG
Notes
Funding
198428 - Agent-based tracking of disease spread with dynamic models of travel behaviour in a pandemic (SNF)