A case for ongoing structural support to maximise infectious disease modelling efficiency for future public health emergencies
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. Show more
Permanent link
https://doi.org/10.3929/ethz-b-000647816Publication status
publishedExternal links
Journal / series
EpidemicsVolume
Pages / Article No.
Publisher
ElsevierSubject
Public health emergency; Modelling; COVID-19; SARS-CoV-2; Pandemic; PolicyOrganisational 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
Funding
198428 - Agent-based tracking of disease spread with dynamic models of travel behaviour in a pandemic (SNF)
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