Study on the COVID-19 epidemic in mainland China between November 2022 and January 2023, with prediction of its tendency

Q1 Social Sciences Journal of Biosafety and Biosecurity Pub Date : 2023-03-01 DOI:10.1016/j.jobb.2023.03.001
Yao Bai , Zhihang Peng , Fengying Wei , Zhen Jin , Jinjie Wang , Ximing Xu , Xinyan Zhang , Jun Xu , Zixiong Ren , Bulai Lu , Zhaojun Wang , Jianguo Xu , Senzhong Huang
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引用次数: 8

Abstract

The prediction system EpiSIX was used to study the COVID-19 epidemic in mainland China between November 2022 and January 2023, based on reported data from December 9, 2022, to January 30, 2023, released by The Chinese Center for Disease Control and Prevention on February 1, 2023. Three kinds of reported data were used for model fitting: the daily numbers of positive nucleic acid tests and deaths, and the daily number of hospital beds taken by COVID-19 patients. It was estimated that the overall infection rate was 87.54% and the overall case fatality rate was 0.078%–0.116% (median 0.100%). Assuming that a new COVID-19 epidemic outbreak would start in March or April of 2023, induced by a slightly more infectious mutant strain, we predicted a possible large rebound between September and October 2023, with a peak demand of between 800,000 and 900,000 inpatient beds. If no such new outbreak was induced by other variants, then the current COVID-19 epidemic course in mainland China would remain under control until the end of 2023. However, it is suggested that the necessary medical resources be prepared to manage possible COVID-19 epidemic emergencies in the near future, especially for the period between September and October 2023.

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2022年11月至2023年1月中国大陆新冠肺炎疫情研究及趋势预测
基于中国疾病预防控制中心2023年2月1日发布的2022年12月9日至2023年1月30日的报告数据,使用EpiSIX预测系统对2022年11月至2023年1月中国大陆地区的新冠肺炎疫情进行研究。模型拟合使用三种报告数据:每日核酸阳性检测数和死亡人数,以及每日COVID-19患者住院床位数。估计总感染率为87.54%,总病死率为0.078% ~ 0.116%,中位数为0.100%。假设新的COVID-19疫情将在2023年3月或4月爆发,由传染性稍强的突变株引起,我们预测2023年9月至10月可能出现大幅反弹,峰值需求在80万至90万张住院床位之间。如果没有其他变异引发新的疫情,那么目前中国大陆的COVID-19疫情进程将保持在可控范围内,直到2023年底。但是,建议准备必要的医疗资源,以应对近期特别是2023年9月至10月期间可能出现的COVID-19疫情突发事件。
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来源期刊
Journal of Biosafety and Biosecurity
Journal of Biosafety and Biosecurity Social Sciences-Linguistics and Language
CiteScore
6.00
自引率
0.00%
发文量
20
审稿时长
41 days
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