Heterogeneity and effectiveness analysis of COVID-19 prevention and control in major cities in China through time-varying reproduction numbers estimation

Qing Cheng, Zeyi Liu, Guangquan Cheng, Jincai Huang

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Received Date: 14th February 2020

From December 31, 2019, a large-scale 2019 novel coronavirus disease (COVID-19) broke out in China. Tracking and analyzing the heterogeneity and effectiveness of cities’ prevention and control for COVID-19 epidemic is essential to design and adjust epidemic prevention and control. The number of newly infected cases in 25 China’s worst cities for COVID-19 epidemic from January 11 to February 10 was collected. The heterogeneity and effectiveness of these 25 cities’ prevention and control measures for COVID-19 were analyzed by using a estimate time-varying reproduction numbers method and a serial correlation method. The results shown that the effective reproduction number (R) in 25 cities showed a downward trend as a whole, but there was a significant difference in the R change trends among cities indicating that there was heterogeneity in the spread and control of COVID-19 in cities. Moreover, the COVID-19 control in 21 of 25 cities were effective and the risk of infection was decreasing due to their R had dropped below 1 on February 10, 2020 and the average decline of R in the past 5 days was greater than 0, while cities of Wuhan, Tianmen, Ezhou and Enshi were still difficult to effectively control the COVID-19 epidemic in a short period of time because their R was greater than 1.

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This is an abstract of a preprint hosted on a preprint server, which is currently undergoing peer review at Scientific Reports. The findings have yet to be thoroughly evaluated, nor has a decision on ultimate publication been made. Therefore, the results reported should not be considered conclusive, and these findings should not be used to inform clinical practice, or public health policy, or be promoted as verified information.


Scientific Reports

Nature Research, Springer Nature