Emerging Diseases Epidemiology Unit, Institut Pasteur, Université Paris Cité, 25 rue du Docteur Roux, Paris, 75015, France.
Sorbonne Université, Ecole Doctorale Pierre Louis de Santé Publique, Paris, 75006, France.
BMC Public Health. 2024 Sep 4;24(1):2411. doi: 10.1186/s12889-024-19651-y.
The aim of the study was to identify settings associated with SARS-CoV-2 transmission throughout the COVID-19 pandemic in France.
Cases with recent SARS-CoV-2 infection were matched with controls (4:1 ratio) on age, sex, region, population size, and calendar week. Odds ratios for SARS-CoV-2 infection were estimated for nine periods in models adjusting for socio-demographic characteristics, health status, COVID-19 vaccine, and past infection.
Between October 27, 2020 and October 2, 2022, 175,688 cases were matched with 43,922 controls. An increased risk of infection was documented throughout the study for open-space offices compared to offices without open space (OR range across the nine periods: 1.12 to 1.57) and long-distance trains (1.25 to 1.88), and during most of the study for convenience stores (OR range in the periods with increased risk: 1.15 to 1.44), take-away delivery (1.07 to 1.28), car-pooling with relatives (1.09 to 1.68), taxis (1.08 to 1.89), airplanes (1.20 to 1.78), concerts (1.31 to 2.09) and night-clubs (1.45 to 2.95). No increase in transmission was associated with short-distance shared transport, car-pooling booked over platforms, markets, supermarkets and malls, hairdressers, museums, movie theatres, outdoor sports, and swimming pools. The increased risk of infection in bars and restaurants was no longer present in restaurants after reopening in June 2021. It persisted in bars only among those aged under 40 years.
Closed settings in which people are less likely to wear masks were most affected by SARS-CoV-2 transmission and should be the focus of air quality improvement.
GOV (03/09/2022): NCT04607941.
本研究旨在确定法国 COVID-19 大流行期间与 SARS-CoV-2 传播相关的环境因素。
将近期 SARS-CoV-2 感染病例与对照组(4:1 比例)按年龄、性别、地区、人口规模和日历周进行匹配。在调整社会人口特征、健康状况、COVID-19 疫苗接种和既往感染的模型中,估计了 9 个时期 SARS-CoV-2 感染的比值比。
2020 年 10 月 27 日至 2022 年 10 月 2 日期间,共匹配了 175688 例病例和 43922 例对照。整个研究期间,与无开放空间的办公室相比,开放式办公室(9 个时期的比值比范围:1.12-1.57)和长途火车(1.25-1.88)感染风险增加,且大部分时间便利店(感染风险增加期间的比值比范围:1.15-1.44)、外卖(1.07-1.28)、与亲属拼车(1.09-1.68)、出租车(1.08-1.89)、飞机(1.20-1.78)、音乐会(1.31-2.09)和夜总会(1.45-2.95)的感染风险增加。与短距离共享交通工具、通过平台预订的拼车、市场、超市和购物中心、理发店、博物馆、电影院、户外运动和游泳池相比,传播风险并未增加。2021 年 6 月重新开放后,餐馆的感染风险增加不再存在,但在 40 岁以下人群中,酒吧的感染风险仍在持续。
人们不太可能戴口罩的封闭场所受 SARS-CoV-2 传播的影响最大,应成为改善空气质量的重点。
GOV(2022 年 3 月 9 日):NCT04607941。