JC School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China.
Stanley Ho Centre for Emerging Infectious Diseases, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China.
JMIR Public Health Surveill. 2024 Jun 19;10:e51498. doi: 10.2196/51498.
Exposure risk was shown to have affected individual susceptibility and the epidemic spread of COVID-19. The dynamics of risk by and across exposure settings alongside the variations following the implementation of social distancing interventions are understudied.
This study aims to examine the population's trajectory of exposure risk in different settings and its association with SARS-CoV-2 infection across 3 consecutive Omicron epidemic waves in Hong Kong.
From March to June 2022, invitation letters were posted to 41,132 randomly selected residential addresses for the recruitment of households into a prospective population cohort. Through web-based monthly surveys coupled with email reminders, a representative from each enrolled household self-reported incidents of SARS-CoV-2 infections, COVID-19 vaccination uptake, their activity pattern in the workplace, and daily and social settings in the preceding month. As a proxy of their exposure risk, the reported activity trend in each setting was differentiated into trajectories based on latent class growth analyses. The associations of different trajectories of SARS-CoV-2 infection overall and by Omicron wave (wave 1: February-April; wave 2: May-September; wave 3: October-December) in 2022 were evaluated by using Cox proportional hazards models and Kaplan-Meier analysis.
In total, 33,501 monthly responses in the observation period of February-December 2022 were collected from 5321 individuals, with 41.7% (2221/5321) being male and a median age of 46 (IQR 34-57) years. Against an expanding COVID-19 vaccination coverage from 81.9% to 95.9% for 2 doses and 20% to 77.7% for 3 doses, the cumulative incidence of SARS-CoV-2 infection escalated from <0.2% to 25.3%, 32.4%, and 43.8% by the end of waves 1, 2, and 3, respectively. Throughout February-December 2022, 52.2% (647/1240) of participants had worked regularly on-site, 28.7% (356/1240) worked remotely, and 19.1% (237/1240) showed an assorted pattern. For daily and social settings, 4 and 5 trajectories were identified, respectively, with 11.5% (142/1240) and 14.6% (181/1240) of the participants gauged to have a high exposure risk. Compared to remote working, working regularly on-site (adjusted hazard ratio [aHR] 1.47, 95% CI 1.19-1.80) and living in a larger household (aHR 1.12, 95% CI 1.06-1.18) were associated with a higher risk of SARS-CoV-2 infection in wave 1. Those from the highest daily exposure risk trajectory (aHR 1.46, 95% CI 1.07-2.00) and the second highest social exposure risk trajectory (aHR 1.52, 95% CI 1.18-1.97) were also at an increased risk of infection in waves 2 and 3, respectively, relative to the lowest risk trajectory.
In an infection-naive population, SARS-CoV-2 transmission was predominantly initiated at the workplace, accelerated in the household, and perpetuated in the daily and social environments, as stringent restrictions were scaled down. These patterns highlight the phasic shift of exposure settings, which is important for informing the effective calibration of targeted social distancing measures as an alternative to lockdown.
暴露风险已被证明会影响个体易感性和 COVID-19 的流行传播。在社交距离干预措施实施后,不同暴露环境下的风险动态及其变化情况仍有待研究。
本研究旨在研究香港连续三波奥密克戎疫情期间不同环境下人群暴露风险的轨迹及其与 SARS-CoV-2 感染的相关性。
2022 年 3 月至 6 月,向 41132 个随机选定的住宅地址发送邀请信,招募家庭参加前瞻性人群队列研究。通过基于网络的每月调查和电子邮件提醒,每个被招募家庭的代表自我报告 SARS-CoV-2 感染、COVID-19 疫苗接种情况、他们在工作场所的活动模式以及上个月的日常和社交环境。作为暴露风险的代表,根据潜在类别增长分析将报告的活动趋势分为不同轨迹。使用 Cox 比例风险模型和 Kaplan-Meier 分析评估了 2022 年 2 月至 12 月期间不同轨迹(波 1:2 月至 4 月;波 2:5 月至 9 月;波 3:10 月至 12 月)的 SARS-CoV-2 感染的总体关联。
在 2022 年 2 月至 12 月的观察期内,共收集了来自 5321 人的 33501 份月度报告,其中 41.7%(2221/5321)为男性,中位年龄为 46(IQR 34-57)岁。随着 COVID-19 疫苗接种覆盖率从 81.9%增加到 95.9%(2 剂)和 20%增加到 77.7%(3 剂),SARS-CoV-2 感染的累积发病率从波 1、2 和 3 的<0.2%、32.4%和 43.8%逐渐上升。在 2022 年 2 月至 12 月期间,52.2%(647/1240)的参与者定期现场工作,28.7%(356/1240)远程工作,19.1%(237/1240)表现出混合模式。对于日常和社交环境,分别确定了 4 和 5 个轨迹,其中 11.5%(142/1240)和 14.6%(181/1240)的参与者被评估为具有高暴露风险。与远程工作相比,定期现场工作(调整后的危险比 [aHR] 1.47,95%CI 1.19-1.80)和居住在较大家庭(aHR 1.12,95%CI 1.06-1.18)与波 1 中 SARS-CoV-2 感染的风险增加相关。来自最高日常暴露风险轨迹(aHR 1.46,95%CI 1.07-2.00)和第二高社交暴露风险轨迹(aHR 1.52,95%CI 1.18-1.97)的人在波 2 和 3 中也分别处于感染风险增加的状态,与最低风险轨迹相比。
在感染人群中,SARS-CoV-2 的传播主要是在工作场所开始,在家庭中加速,并在日常和社会环境中持续存在,因为严格的限制措施逐渐放宽。这些模式突出了暴露环境的阶段性变化,这对于告知有效校准有针对性的社交距离措施作为封锁的替代方案非常重要。