Modeling and Evaluation of the Joint Prevention and Control Mechanism for Curbing COVID-19 in Wuhan

Autor: Linhua Zhou, Xinmiao Rong, Meng Fan, Liu Yang, Huidi Chu, Ling Xue, Guorong Hu, Siyu Liu, Zhijun Zeng, Ming Chen, Wei Sun, Jiamin Liu, Yawen Liu, Shishen Wang, Huaiping Zhu
Rok vydání: 2022
Předmět:
Zdroj: Bulletin of Mathematical Biology
ISSN: 1522-9602
0092-8240
DOI: 10.1007/s11538-021-00983-4
Popis: The spread of COVID-19 in Wuhan was successfully curbed under the strategy of “Joint Prevention and Control Mechanism.” To understand how this measure stopped the epidemics in Wuhan, we establish a compartmental model with time-varying parameters over different stages. In the early stage of the epidemic, due to resource limitations, the number of daily reported cases may lower than the actual number. We employ a dynamic-based approach to calibrate the accumulated clinically diagnosed data with a sudden jump on February 12 and 13. The model simulation shows reasonably good match with the adjusted data which allows the prediction of the cumulative confirmed cases. Numerical results reveal that the “Joint Prevention and Control Mechanism” played a significant role on the containment of COVID-19. The spread of COVID-19 cannot be inhibited if any of the measures was not effectively implemented. Our analysis also illustrates that the Fangcang Shelter Hospitals are very helpful when the beds in the designated hospitals are insufficient. Comprised with Fangcang Shelter Hospitals, the designated hospitals can contain the transmission of COVID-19 more effectively. Our findings suggest that the combined multiple measures are essential to curb an ongoing epidemic if the prevention and control measures can be fully implemented.
Databáze: OpenAIRE
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