Department of Biomedical Data Science, Stanford University, Stanford, California, USA.
Department of Medicine, University of California, San Francisco, San Francisco, California, USA.
Clin Infect Dis. 2021 Nov 2;73(9):e3127-e3129. doi: 10.1093/cid/ciaa1383.
Routine asymptomatic testing strategies for COVID-19 have been proposed to prevent outbreaks in high-risk healthcare environments. We used simulation modeling to evaluate the optimal frequency of viral testing. We found that routine testing substantially reduces risk of outbreaks, but may need to be as frequent as twice weekly.
已经提出了针对 COVID-19 的常规无症状检测策略,以防止高危医疗环境中的疫情爆发。我们使用模拟建模来评估病毒检测的最佳频率。我们发现常规检测可显著降低疫情爆发的风险,但可能需要每周检测两次甚至更频繁。