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Estimation of the Outbreak Severity and Evaluation of Epidemic Prevention Ability of COVID-19 by Province in China
Document Type
Article
Publication Date
12-1-2020
Keywords
American, Public, Health, Association, Journal, APHA, AJPH, practice, policy, infrastructure, ethics
DOI
https://doi.org/10.2105/AJPH.2020.305893
Abstract
Objectives. To compare the epidemic prevention ability of COVID-19 of each province in China and to evaluate the existing prevention and control capacity of each province.
Methods. We established a quasi-Poisson linear mixed-effects model using the case data in cities outside Wuhan in Hubei Province, China. We adapted this model to estimate the number of potential cases in Wuhan and obtained epidemiological parameters. We estimated the initial number of cases in each province by using passenger flowrate data and constructed the extended susceptible–exposed–infectious–recovered model to predict the future disease transmission trends.
Results. The estimated potential cases in Wuhan were about 3 times the reported cases. The basic reproductive number was 3.30 during the initial outbreak. Provinces with more estimated imported cases than reported cases were those in the surrounding provinces of Hubei, including Henan and Shaanxi. The regions where the number of reported cases was closer to the predicted value were most the developed areas, including Beijing and Shanghai.
Conclusions. The number of confirmed cases in Wuhan was underestimated in the initial period of the outbreak. Provincial surveillance and emergency response capabilities vary across the country.
Citation / Publisher Attribution
American Journal of Public Health, v. 110, no. 12, p. 1837-1843
Scholar Commons Citation
Ma, Yilei; Liu, Xuehan; Tao, Weiwei; Tian, Yuchen; Duan, Yanran; Xiang, Ming; Hu, Jing; Li, Lei; Lyu, Yalan; Wang, Peng; Huang, Yangxin; Lu, Caihong; Liu, Wenhua; Jiang, Hongwei; and Yin, Ping, "Estimation of the Outbreak Severity and Evaluation of Epidemic Prevention Ability of COVID-19 by Province in China" (2020). All publications. 45.
https://digitalcommons.usf.edu/usf_fcrc_all/45
Comments
Article available for free at PubMed Central: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7662009/