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Published in: Journal of Public Health 4/2024

21-02-2023 | COVID-19 | Original Article

Parallel evolution and control method for predicting the effectiveness of non-pharmaceutical interventions in pandemics

Authors: Hai-nan Huang, Tian Xie, Wei-fan Chen, Yao-yao Wei

Published in: Journal of Public Health | Issue 4/2024

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Abstract

Aim

Nonpharmaceutical interventions (NPIs) are important strategies to utilize in reducing the negative systemic impact pandemic disasters have on human health. However, early on in the pandemic, the lack of prior knowledge and the rapidly changing nature of pandemics make it challenging to construct effective epidemiological models that can be used for anti-contagion decision-making.

Subject and methods

Based on the parallel control and management theory (PCM) and epidemiological models, we developed a Parallel Evolution and Control Framework for Epidemics (PECFE), which can optimize epidemiological models according to the dynamic information during the evolution of pandemics.

Results

The cross-application between PCM and epidemiological models enabled us to successfully construct an anti-contagion decision-making model for the early stages of COVID-19 in Wuhan, China. Using the model, we estimated the effects of gathering bans, intra-city traffic blockades, emergency hospitals, and disinfection, forecasted pandemic trends under different NPIs strategies, and analyzed specific strategies to prevent pandemic rebounds.

Conclusion

The successful simulation and forecasting of the pandemic showed that the PECFE could be effective in constructing decision models during pandemic outbreaks, which is crucial for emergency management where every second counts.
Appendix
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Literature
Metadata
Title
Parallel evolution and control method for predicting the effectiveness of non-pharmaceutical interventions in pandemics
Authors
Hai-nan Huang
Tian Xie
Wei-fan Chen
Yao-yao Wei
Publication date
21-02-2023
Publisher
Springer Berlin Heidelberg
Keyword
COVID-19
Published in
Journal of Public Health / Issue 4/2024
Print ISSN: 2198-1833
Electronic ISSN: 1613-2238
DOI
https://doi.org/10.1007/s10389-023-01843-2

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