Occupational and non-occupational risk factors for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection have been reported in healthcare workers (HCWs), but studies evaluating risk factors for infection among physician trainees are lacking. We aimed to identify sociodemographic, occupational, and community risk factors among physician trainees during the first wave of coronavirus disease 2019 (COVID-19) in New York City. In this retrospective study of 328 trainees at the Mount Sinai Health System in New York City, we administered a survey to assess risk factors for SARS-CoV-2 infection between 1 February and 30 June 2020. SARS-CoV-2 infection was determined by self-reported and laboratory-confirmed IgG antibody and reverse transcriptase-polymerase chain reaction test results. We used Bayesian generalized linear mixed effect regression to examine associations between hypothesized risk factors and infection odds. The cumulative incidence of infection was 20.1%. Assignment to medical-surgical units (OR, 2.51; 95% CI, 1.18–5.34), and training in emergency medicine, critical care, and anesthesiology (OR, 2.93; 95% CI, 1.24–6.92) were independently associated with infection. Caring for unfamiliar patient populations was protective (OR, 0.16; 95% CI, 0.03–0.73). Community factors were not statistically significantly associated with infection after adjustment for occupational factors. Our findings may inform tailored infection prevention strategies for physician trainees responding to the COVID-19 pandemic.

中文翻译：

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第一波 COVID-19 浪潮期间纽约市实习医师感染 SARS-CoV-2 的相关因素

据报道，医护人员 (HCW) 存在严重急性呼吸综合征冠状病毒 2 (SARS-CoV-2) 感染的职业和非职业危险因素，但缺乏评估见习医师感染危险因素的研究。我们的目的是确定纽约市 2019 年第一波冠状病毒病 (COVID-19) 期间实习医生的社会人口、职业和社区风险因素。在这项针对纽约市西奈山卫生系统 328 名学员的回顾性研究中，我们进行了一项调查，以评估 2020 年 2 月 1 日至 6 月 30 日期间感染 SARS-CoV-2 的风险因素。自我报告并经实验室确认的 IgG 抗体和逆转录酶聚合酶链反应检测结果。我们使用贝叶斯广义线性混合效应回归来检查假设的危险因素和感染几率之间的关联。累计感染率为20.1%。分配到内外科病房（OR，2.51；95% CI，1.18-5.34）以及急诊医学、重症监护和麻醉学培训（OR，2.93；95% CI，1.24-6.92）与感染独立相关。照顾不熟悉的患者群体具有保护作用（OR，0.16；95% CI，0.03-0.73）。调整职业因素后，社区因素与感染没有统计学上的显着相关性。我们的研究结果可能会为应对 COVID-19 大流行的实习医生提供定制的感染预防策略。