Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.
BMJ Open. 2023 Feb 28;13(2):e063771. doi: 10.1136/bmjopen-2022-063771.
To describe and synthesise studies of SARS-CoV-2 seroprevalence by occupation prior to the widespread vaccine roll-out.
We identified studies of occupational seroprevalence from a living systematic review (PROSPERO CRD42020183634). Electronic databases, grey literature and news media were searched for studies published during January-December 2020. Seroprevalence estimates and a free-text description of the occupation were extracted and classified according to the Standard Occupational Classification (SOC) 2010 system using a machine-learning algorithm. Due to heterogeneity, results were synthesised narratively.
We identified 196 studies including 591 940 participants from 38 countries. Most studies (n=162; 83%) were conducted locally versus regionally or nationally. Sample sizes were generally small (median=220 participants per occupation) and 135 studies (69%) were at a high risk of bias. One or more estimates were available for 21/23 major SOC occupation groups, but over half of the estimates identified (n=359/600) were for healthcare-related occupations. 'Personal Care and Service Occupations' (median 22% (IQR 9-28%); n=14) had the highest median seroprevalence.
Many seroprevalence studies covering a broad range of occupations were published in the first year of the pandemic. Results suggest considerable differences in seroprevalence between occupations, although few large, high-quality studies were done. Well-designed studies are required to improve our understanding of the occupational risk of SARS-CoV-2 and should be considered as an element of pandemic preparedness for future respiratory pathogens.
描述并综合 2020 年广泛疫苗接种前，职业相关的 SARS-CoV-2 血清流行率研究。
我们从一项正在进行的系统综述（PROSPERO CRD42020183634）中确定了职业血清流行率研究。电子数据库、灰色文献和新闻媒体都被用来搜索 2020 年 1 月至 12 月期间发表的研究。提取血清流行率估计值和职业的自由文本描述，并使用机器学习算法根据 2010 年标准职业分类（SOC）系统进行分类。由于存在异质性，结果以叙述性方式进行综合。
我们确定了 196 项研究，涉及来自 38 个国家的 591940 名参与者。大多数研究（n=162；83%）是在当地进行的，而不是在地区或国家范围内进行。样本量通常较小（中位数=每个职业 220 名参与者），135 项研究（69%）存在较高的偏倚风险。23 个主要 SOC 职业群体中有 21 个群体有一个或多个估计值，但已确定的估计值中有一半以上（n=359/600）是与医疗保健相关的职业。“个人护理和服务职业”（中位数 22%（IQR 9-28%）；n=14）的血清流行率最高。
在大流行的第一年，发表了许多涵盖广泛职业的血清流行率研究。结果表明，不同职业之间的血清流行率存在相当大的差异，尽管进行了少数高质量的大型研究。需要进行精心设计的研究，以提高我们对 SARS-CoV-2 职业风险的认识，并应将其视为未来呼吸道病原体大流行防范的一部分。
