Department of Statistics, Stanford University, Stanford, California.
Program of Applied Mathematics, Yale University, New Haven, Connecticut.
Infect Control Hosp Epidemiol. 2020 Dec;41(12):1443-1445. doi: 10.1017/ice.2020.337. Epub 2020 Jul 20.
Reducing severe acute respiratory coronavirus virus 2 (SARS-CoV-2) infections among healthcare workers is critical. We ran Monte Carlo simulations modeling the spread of SARS-CoV-2 in non-COVID-19 wards, and we found that longer nursing shifts and scheduling designs in which teams of nurses and doctors co-rotate no more frequently than every 3 days can lead to fewer infections.
减少医护人员中严重急性呼吸综合征冠状病毒 2 型(SARS-CoV-2)感染至关重要。我们进行了蒙特卡罗模拟,模拟了 SARS-CoV-2 在非 COVID-19 病房中的传播,结果发现,护理时间延长和护士与医生团队每 3 天以上才轮转一次的排班设计可导致感染减少。