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英国新冠病毒传播的风险因素:一项使用常规接触者追踪数据的多层次建模研究

Risk factors for COVID-19 transmission in England: a multilevel modelling study using routine contact tracing data.

作者信息

Moore Hannah L, Turner Charlie, Rawlinson Chris, Chen Cong, Verlander Neville Q, Anderson Charlotte, Hughes Gareth J

机构信息

UK Field Epidemiology Training Programme, Leeds, UK.

Contact Tracing Data Team, UK Health Security Agency, London, UK.

出版信息

Epidemiol Infect. 2024 Oct 2;152:e112. doi: 10.1017/S0950268824001043.

Abstract

Contact tracing for COVID-19 in England operated from May 2020 to February 2022. The clinical, demographic and exposure information collected on cases and their contacts offered a unique opportunity to study secondary transmission. We aimed to quantify the relative impact of host factors and exposure settings on secondary COVID-19 transmission risk using 550,000 sampled transmission links between cases and their contacts. Links, or 'contact episodes', were established where a contact subsequently became a case, using an algorithm accounting for incubation period, setting, and contact date. A mixed-effects logistic regression model was used to estimate adjusted odds of transmission. Of sampled episodes, 8.7% resulted in secondary cases. Living with a case (71% episodes) was the most significant risk factor (aOR = 2.6, CI = 1.9-3.6). Other risk factors included unvaccinated status (aOR = 1.2, CI = 1.2-1.3), symptoms, and older age (66-79 years; aOR = 1.4, CI = 1.4-1.5). Whilst global COVID-19 strategies emphasized protection outside the home, including education, travel, and gathering restrictions, this study evidences the relative importance of household transmission. There is a need to reconsider the contribution of household transmission to future control strategies and the requirement for effective infection control within households.

摘要

英格兰的新冠病毒接触者追踪工作于2020年5月至2022年2月开展。收集到的病例及其接触者的临床、人口统计学和暴露信息为研究二代传播提供了独特机会。我们旨在利用病例与其接触者之间的55万个抽样传播关联来量化宿主因素和暴露环境对新冠病毒二代传播风险的相对影响。当一名接触者随后成为病例时,通过一种考虑潜伏期、环境和接触日期的算法建立关联,即“接触事件”。采用混合效应逻辑回归模型来估计调整后的传播几率。在抽样事件中,8.7%导致了二代病例。与病例同住(71%的事件)是最显著的风险因素(调整后比值比 = 2.6,置信区间 = 1.9 - 3.6)。其他风险因素包括未接种疫苗状态(调整后比值比 = 1.2,置信区间 = 1.2 - 1.3)、症状以及年龄较大(66 - 79岁;调整后比值比 = 1.4,置信区间 = 1.4 - 1.5)。虽然全球新冠疫情防控策略强调家庭以外的防护,包括教育、旅行和聚集限制,但本研究证明了家庭传播的相对重要性。有必要重新考虑家庭传播对未来防控策略的贡献以及家庭内有效感染控制的必要性。

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