Scripps Research Translational Institute, Scripps Research, La Jolla, California (D.P.O., E.J.T.).
Ann Intern Med. 2020 Sep 1;173(5):362-367. doi: 10.7326/M20-3012. Epub 2020 Jun 3.
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has spread rapidly throughout the world since the first cases of coronavirus disease 2019 (COVID-19) were observed in December 2019 in Wuhan, China. It has been suspected that infected persons who remain asymptomatic play a significant role in the ongoing pandemic, but their relative number and effect have been uncertain. The authors sought to review and synthesize the available evidence on asymptomatic SARS-CoV-2 infection. Asymptomatic persons seem to account for approximately 40% to 45% of SARS-CoV-2 infections, and they can transmit the virus to others for an extended period, perhaps longer than 14 days. Asymptomatic infection may be associated with subclinical lung abnormalities, as detected by computed tomography. Because of the high risk for silent spread by asymptomatic persons, it is imperative that testing programs include those without symptoms. To supplement conventional diagnostic testing, which is constrained by capacity, cost, and its one-off nature, innovative tactics for public health surveillance, such as crowdsourcing digital wearable data and monitoring sewage sludge, might be helpful.
自 2019 年 12 月中国武汉首次发现 2019 年冠状病毒病(COVID-19)病例以来,严重急性呼吸综合征冠状病毒 2(SARS-CoV-2)已在全球迅速传播。人们怀疑无症状感染者在当前大流行中发挥了重要作用,但他们的相对数量和影响尚不确定。作者试图回顾和综合现有的关于无症状 SARS-CoV-2 感染的证据。无症状者似乎占 SARS-CoV-2 感染的 40%至 45%左右,并且他们可以将病毒传播给其他人很长一段时间,也许超过 14 天。无症状感染可能与通过计算机断层扫描检测到的亚临床肺部异常有关。由于无症状者传播的风险很高,因此测试计划必须包括无症状者。为了补充常规诊断测试,该测试受到能力、成本和一次性性质的限制,公共卫生监测的创新策略,例如众包数字可穿戴数据和监测污水污泥,可能会有所帮助。