期刊
BMJ OPEN
卷 12, 期 12, 页码 -出版社
BMJ PUBLISHING GROUP
DOI: 10.1136/bmjopen-2022-066359
关键词
COVID-19; Public health; INFECTIOUS DISEASES
资金
- Haihe Laboratory of Cell Ecosystem Innovation Fund [22HHXBJC00001]
This study reported how the Chinese mainland battled its first omicron wave in Tianjin and successfully suppressed the outbreak within a month by identifying cases through mass PCR testing and dynamically adjusting quarantine policies. Nearly two-thirds of the cases had no or mild symptoms, and the research found that it might be possible to predict the timing of viral clearance based on clinical features.
Objective To report how the Chinese mainland battled its first omicron wave, which happened in Tianjin, a metropolis with 14million residents. We also sought to better understand how clinical features affected the timing of viral clearance. Design A retrospective study of the omicron wave in Tianjin between 8 January 2022 and 3 March 2022. Setting Except for the first cases on 8 January, all the omicron cases were identified through PCR mass testing in the residential communities. Residential quarantine and serial PCR mass testing were dynamically adjusted according to the trends of new cases. Participants All the 417 consecutive PCR-positive cases identified through mass screening of the entire city's 14million residents. 45.3% of the cases were male, and the median age was 37 (range 0.3-90). 389 (93%) cases had complete data for analysing the correlation between clinical features and the timing of viral clearance. Main outcome and measure Time to viral clearance. Results Tianjin initiated the 'dynamic zero-COVID' policy very early, that is, when daily new case number was approximate to 0.4 cases per 1000000 residents. Daily new cases dropped to <5 after 3 February, and the number of affected residential subdivisions dropped to <= 2 after 13 February. 64% (267/417) of the cases had no or mild symptoms. The median interval from hospital admission to viral clearance was 10 days (range 3-28). An exploratory analysis identified a feature cluster associated with earlier viral clearance, with HRs of 3.56 (95% CI 1.66 to 7.63) and 3.15 (95% CI 1.68 to 5.91) in the training and validation sets, respectively. Conclusions The 'dynamic zero-COVID' policy can suppress an omicron wave within a month. It might be possible to predict in advance which cases will require shorter periods of isolation based on their clinical features.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据