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奥密克戎变异株感染实施“乙类乙管”后疫情防控特征的横断面研究:中国四川 2022 年 12 月以来的暴发调查。

Epidemiological features of SARS-CoV-2 Omicron infection under new control strategy: a cross-sectional study of the outbreak since December 2022 in Sichuan, China.

机构信息

West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, 610041, P.R. China.

Sichuan Center for Disease Control and Prevention, Chengdu, Sichuan, 610041, P.R. China.

出版信息

BMC Public Health. 2023 Dec 8;23(1):2463. doi: 10.1186/s12889-023-17361-5.

Abstract

BACKGROUND

A major shift in the "dynamic zero-COVID" policy was announced by China's National Health Commission on December 7, 2022, and the subsequent immediate large-scale outbreak of SARS-CoV-2 infections in the entire country has caused worldwide concern. This observational cross-sectional study aimed to describe the epidemiological characteristics of this outbreak in Sichuan, China.

METHODS

All data were self-reported online by volunteers. We described the epidemic by characterizing the infection, symptoms, clinical duration, severity, spatiotemporal clustering, and dynamic features of the disease. Prevalence ratio (PR), Odds ratios (ORs) and adjusted ORs were calculated to analyze the associations between risk factors and infection and the associations of risk factors with clinical severity using log-binomial and multivariable logistic regression models; 95% confidence intervals (CIs) and Wald test results were reported. The prevalence rates and clinical severity among different subgroups were compared using the Chi-square and trend Chi-square tests.

RESULTS

Between January 6 and 12, 2023, 138,073 volunteers were enrolled in this survey, and 102,645 were infected with COVID-19, holding a prevalence rate of 74.34%; the proportion of asymptomatic infections was 1.58%. Log-binomial regression revealed that the risk of infection increased among those living in urban areas. Multivariable logistic regression analysis showed that female sex, chronic diseases, older age and the fewer doses of vaccine received were associated with an increased risk of severe clinical outcomes after infection. We estimated the mean reproduction number during this pandemic was 1.83. The highest time-dependent reproduction number was 4.15; this number decreased below 1 after 11 days from December 7, 2022. Temporal trends revealed a single peak curve with a plateau pattern of incidence during the outbreak, whereas spatiotemporal clustering analysis showed that the onset in 21 cities in the Sichuan province had four-wave peaks.

CONCLUSIONS

The peak of the first wave of Omicron infection in Sichuan Province had passed and could be considered a snapshot of China under the new control strategy. There were significant increases in the risk of severe clinical outcomes after infection among females, with chronic diseases, and the elderly. The vaccines have been effective in reducing poor clinical outcomes.

摘要

背景

中国国家卫生健康委员会于 2022 年 12 月 7 日宣布重大转变“动态清零”政策,随后全国范围内 SARS-CoV-2 感染的大规模爆发引起了全球关注。本观察性横断面研究旨在描述中国四川省疫情的流行病学特征。

方法

所有数据均由志愿者在线自行报告。我们通过描述感染、症状、临床持续时间、严重程度、时空聚集和疾病动态特征来描述疫情。使用对数二项式和多变量逻辑回归模型计算患病率比(PR)、比值比(OR)和调整后的 OR,以分析风险因素与感染之间的关联,以及风险因素与临床严重程度之间的关联;报告了 95%置信区间(CI)和 Wald 检验结果。使用卡方检验和趋势卡方检验比较不同亚组之间的患病率和临床严重程度。

结果

2023 年 1 月 6 日至 12 日期间,共招募了 138073 名志愿者参与本调查,其中 102645 人感染了 COVID-19,患病率为 74.34%;无症状感染比例为 1.58%。对数二项式回归显示,居住在城市地区的人感染风险增加。多变量逻辑回归分析显示,女性、慢性疾病、年龄较大和接种疫苗剂量较少与感染后发生严重临床结局的风险增加相关。我们估计本次疫情期间的平均繁殖数为 1.83。最高的时变繁殖数为 4.15;从 2022 年 12 月 7 日起 11 天后,该数字降至 1 以下。时间趋势显示,疫情爆发期间呈单峰曲线和发病率平台模式,时空聚类分析显示,四川省 21 个城市的发病呈四波高峰。

结论

四川省首例奥密克戎感染高峰已过,可视为新防控策略下的中国快照。女性、患有慢性病和老年人感染后发生严重临床结局的风险显著增加。疫苗在降低不良临床结局方面发挥了作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dddd/10709916/a28ab2a67651/12889_2023_17361_Fig1_HTML.jpg

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