Zhang Yanjie, Yu Bin, Chen Xinguang, Rich Shannan, Mo Qiqing, Yan Hong
Department of Epidemiology, University of Florida, Gainesville, FL 32610, USA.
Department of Surgery, School of Medicine, Duke University, Durham, NC 27710, USA.
Glob Health J. 2021 Mar;5(1):4-11. doi: 10.1016/j.glohj.2021.02.001. Epub 2021 Feb 6.
Controlling the coronavirus disease 2019 (COVID-19) epidemic requires information beyond new and cumulative cases. This study aims to conduct an in-depth analysis by geographic strata: Wuhan City (hereafter referred to as Wuhan) only, Hubei Province (hereafter referred to as Hubei) excluding Wuhan, and China excluding Hubei.
Daily cumulative confirmed COVID-19 cases between December 8, 2019 (the date of symptom onset based on patients' recall during the investigation), and March 1, 2020, from official sources and published studies were analyzed. The second derivative model was used for information extraction. Data analysis was conducted separately for the three strata.
A total of 80 026 diagnosed COVID-19 cases were reported during the first 85 days of the epidemic, with 49 315 cases from Wuhan, 17 788 from Hubei excluding Wuhan, and 12 923 from China excluding Hubei. Analytical results indicate that the COVID-19 epidemic consists of an Acceleration, a Deceleration, and a Stabilization Phase in all three geographic strata, plus a Silent Attack Phase for Wuhan only. Given the reported incubation period of 14 days, effects of the massive anti-epidemic actions were revealed by both the Acceleration and Deceleration Phases. The Acceleration Phase signaled the effect of the intervention to detect the infected; the Deceleration Phase signaled the declines in new infections after the infected were detected, treated and quarantined.
Findings of the study provide new evidence to better monitor the epidemic, evaluate its response to intervention, and predict the trend long. In addition to re-evaluating the control of the COVID-19 epidemic in China, this study provided a model for monitoring outbreaks of COVID-19 in different countries across the world.
控制2019冠状病毒病(COVID-19)疫情需要新发病例和累计病例以外的信息。本研究旨在按地理区域进行深入分析:仅武汉市(以下简称武汉)、湖北省(以下简称湖北,不包括武汉)以及中国其他地区(不包括湖北)。
分析了2019年12月8日(根据调查期间患者回忆确定的症状出现日期)至2020年3月1日官方来源和已发表研究中的每日累计确诊COVID-19病例。使用二阶导数模型进行信息提取。对三个区域分别进行数据分析。
疫情头85天共报告80026例确诊COVID-19病例,其中武汉49315例,湖北其他地区(不包括武汉)17788例,中国其他地区(不包括湖北)12923例。分析结果表明,COVID-19疫情在所有三个地理区域均包括加速期、减速期和稳定期,而武汉还存在一个静默传播期。考虑到报告的潜伏期为14天,加速期和减速期均显示了大规模抗疫行动的效果。加速期表明检测感染者的干预措施起效;减速期表明感染者被检测、治疗和隔离后新感染病例数下降。
本研究结果为更好地监测疫情、评估干预措施效果以及长期预测疫情趋势提供了新证据。除重新评估中国COVID-19疫情防控情况外,本研究还为全球不同国家监测COVID-19疫情爆发提供了一个模型。