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The collaboration between infectious disease modeling and public health decision-making based on the COVID-19
- Source :
- Journal of Safety Science and Resilience, Vol 2, Iss 2, Pp 69-76 (2021)
- Publication Year :
- 2021
- Publisher :
- KeAi Communications Co., Ltd., 2021.
-
Abstract
- Public health decision-making may have great uncertainty especially in dealing with emerging infectious diseases, so it is necessary to establish a collaborative mechanism among modelers, epidemiologists, and public health decision-makers to reduce the uncertainty as much as possible. We searched the relevant studies on transmission dynamics modeling of infectious diseases, SARS, MERS, and COVID-19 as of March 1, 2021 based on PubMed. We compared the key health decision-making time points of SARS, MERS, and COVID-19 prevention and control, and the publication time points of modeling research, to reveal the collaboration between infectious disease modeling and public health decision-making in the context of the COVID-19 pandemic. Searching with infectious disease and mathematical model as keywords, there were 166, 81 and 1 289 studies on the modeling of infectious disease transmission dynamics of SARS, MERS, and COVID-19 were retrieved respectively. Based on the modeling application framework of public health practice proposed in the current study, the collaboration among modelers, epidemiologists and public health decision-makers should be strengthened in the future.
Details
- Language :
- English
- ISSN :
- 26664496
- Volume :
- 2
- Issue :
- 2
- Database :
- Directory of Open Access Journals
- Journal :
- Journal of Safety Science and Resilience
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.267c6f0ce9242a7a874e90a58a31467
- Document Type :
- article
- Full Text :
- https://doi.org/10.1016/j.jnlssr.2021.06.001