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2020年至2022年中国深圳东北部疫情防控期间密切接触者中新型冠状病毒感染的相关因素:一项回顾性队列研究

Associated factors in SARS-CoV-2 infection among close contacts during the zero-COVID policy from 2020 to 2022 in the northeast of Shenzhen, China: a retrospective cohort study.

作者信息

Zeng Yu, Xv Jiaqi, Cui Li

机构信息

Longgang Center for Disease Control and Prevention in Shenzhen, Shenzhen, China.

出版信息

Front Public Health. 2025 Jun 11;13:1589683. doi: 10.3389/fpubh.2025.1589683. eCollection 2025.

Abstract

BACKGROUND

Identifying high-risk groups and developing specific interventions is essential to combat pandemic including COVID-19. We estimated key factors of demographic characteristic, exposure-related variables, and vaccination status in secondary infection among close contacts throughout the zero-COVID policy.

METHODS

We used contact tracing data from 622 primary cases and 31,278 close contacts between February 2020 and December 2022 in the northeast of Shenzhen, China. The multivariate logistic regression was utilized to identify factors affecting SARS-CoV-2 infection of close contacts.

RESULTS

The secondary attack rate (SAR) of close contacts was 1.4% (95% CI: 1.3-1.5%), and the associated factors included over 50 (OR = 1.47, 95% CI: 1.13-1.91), living in urban village housing (OR = 1.51, 95% CI: 1.04-2.19), closer relationship with primary cases (e.g., household members: OR = 44.06, 95% CI: 34.45-56.36), last exposure occurring before the illness onset of cases (e.g., >2 days before: OR = 0.52, 95% CI: 0.27-1.00), exposed to cases with moderate symptoms (OR = 0.62, 95% CI: 0.40-0.95), and better COVID-19 vaccination status (e.g., booster vaccination within 6 months before the last exposure: OR = 0.38, 95% CI: 0.24-0.60).

CONCLUSION

Our findings should be helpful to develop targeted surveillance and interventions for these high-risk groups to understand ongoing COVID-19 issue and improve future pandemic management.

摘要

背景

识别高危人群并制定具体干预措施对于抗击包括新冠疫情在内的大流行至关重要。我们评估了在动态清零政策期间密切接触者二次感染中人口统计学特征、暴露相关变量和疫苗接种状况的关键因素。

方法

我们使用了2020年2月至2022年12月中国深圳东北部622例原发病例和31278名密切接触者的接触者追踪数据。采用多因素逻辑回归分析来确定影响密切接触者感染新冠病毒的因素。

结果

密切接触者的二代发病率(SAR)为1.4%(95%CI:1.3-1.5%),相关因素包括年龄超过50岁(OR = 1.47,95%CI:1.13-1.91)、居住在城中村住房(OR = 1.51,95%CI:1.04-2.19)、与原发病例关系更密切(如家庭成员:OR = 44.06,95%CI:34.45-56.36)、最后一次暴露发生在病例发病前(如>2天前:OR = 0.52,95%CI:0.27-1.00)、接触中度症状病例(OR = 0.62,95%CI:0.40-0.95)以及新冠疫苗接种状况较好(如最后一次暴露前6个月内接种加强针:OR = 0.38,95%CI:0.24-0.60)。

结论

我们的研究结果有助于针对这些高危人群开展有针对性的监测和干预措施,以了解当前的新冠疫情问题并改善未来的大流行管理。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aafb/12187859/f1378f9efb88/fpubh-13-1589683-g001.jpg

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