Centre for Mathematical Modelling of Infectious Diseases, Department of Infectious Disease Epidemiology, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, United Kingdom.
Elife. 2020 Aug 24;9:e58699. doi: 10.7554/eLife.58699.
A key unknown for SARS-CoV-2 is how asymptomatic infections contribute to transmission. We used a transmission model with asymptomatic and presymptomatic states, calibrated to data on disease onset and test frequency from the Diamond Princess cruise ship outbreak, to quantify the contribution of asymptomatic infections to transmission. The model estimated that 74% (70-78%, 95% posterior interval) of infections proceeded asymptomatically. Despite intense testing, 53% (51-56%) of infections remained undetected, most of them asymptomatic. Asymptomatic individuals were the source for 69% (20-85%) of all infections. The data did not allow identification of the infectiousness of asymptomatic infections, however low ranges (0-25%) required a net reproduction number for individuals progressing through presymptomatic and symptomatic stages of at least 15. Asymptomatic SARS-CoV-2 infections may contribute substantially to transmission. Control measures, and models projecting their potential impact, need to look beyond the symptomatic cases if they are to understand and address ongoing transmission.
对于 SARS-CoV-2,一个关键的未知因素是无症状感染如何促进传播。我们使用了一个带有无症状和出现症状前状态的传播模型,根据钻石公主号游轮疫情的发病和检测频率数据进行了校准,以量化无症状感染对传播的贡献。该模型估计,74%(70-78%,95%后验区间)的感染是无症状的。尽管进行了密集的检测,但仍有 53%(51-56%)的感染未被发现,其中大多数是无症状的。无症状个体是所有感染的 69%(20-85%)的来源。然而,数据无法确定无症状感染的传染性,但是低范围(0-25%)要求无症状和出现症状的个体的有效繁殖数至少为 15。无症状的 SARS-CoV-2 感染可能会在很大程度上促进传播。如果要了解和解决持续传播,控制措施和预测其潜在影响的模型需要超越有症状的病例。