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COVID-19 疫情总结及中国应急措施效果评估。

Summary of the COVID-19 epidemic and estimating the effects of emergency responses in China.

机构信息

West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China.

出版信息

Sci Rep. 2021 Jan 12;11(1):717. doi: 10.1038/s41598-020-80201-8.

Abstract

Coronavirus disease-2019 (COVID-19) pandemic has affected millions of people since December 2019. Summarizing the development of COVID-19 and assessing the effects of control measures are very critical to China and other countries. A logistic growth curve model was employed to compare the development of COVID-19 before and after the emergency response took effect. We found that the number of confirmed cases peaked 9-14 days after the first detection of an imported case, but there was a peak lag in the province where the outbreak was concentrated. Results of the growth curves indicated that the fitted cumulative confirmed cases were close to the actual observed cases, and the R of all models was above 0.95. The average growth rate decreased by 44.42% nationally and by 32.5% outside Hubei Province. The average growth rate in the 12 high-risk areas decreased by 29.9%. The average growth rate of cumulative confirmed cases decreased by approximately 50% after the emergency response. Areas with frequent population migration have a high risk of outbreak. The emergency response taken by the Chinese government was able to effectively control the COVID-19 outbreak. Our study provides references for other countries and regions to control the COVID-19 outbreak.

摘要

自 2019 年 12 月以来,冠状病毒病-2019(COVID-19)大流行已影响了数百万人。总结 COVID-19 的发展并评估控制措施的效果对中国和其他国家非常关键。我们采用 logistic 增长曲线模型比较了应急响应生效前后 COVID-19 的发展情况。我们发现,确诊病例数在首次发现输入性病例后 9-14 天达到峰值,但在疫情集中的省份存在高峰滞后。增长曲线的结果表明,拟合的累计确诊病例数与实际观察病例数接近,所有模型的 R 值均高于 0.95。全国平均增长率下降了 44.42%,湖北省以外地区下降了 32.5%。12 个高风险地区的平均增长率下降了 29.9%。应急响应后,累计确诊病例的平均增长率下降了约 50%。人口迁移频繁的地区有爆发的高风险。中国政府采取的应急响应能够有效控制 COVID-19 的爆发。我们的研究为其他国家和地区控制 COVID-19 疫情提供了参考。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b439/7803947/2086c25e23f9/41598_2020_80201_Fig1_HTML.jpg

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