Quantitative COVID-19 infectiousness estimate correlating with viral shedding and culturability suggests 68% pre-symptomatic transmissions

M. Prakash
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引用次数: 12

Abstract

A person clinically diagnosed with COVID 19 can infect others for several days before and after the onset of symptoms. At the epidemiological level, this information on how infectious someone is lies embedded implicitly in the serial interval data. Other clinical indicators of infectiousness based on the temporal kinetics of the viral shedding from the nasopharyngeal swabs and sputum show the former decaying weeks sooner than the latter. In this work, we attempt to provide a better quantitative estimate for the temporal infectiousness profile using serial interval data from a combined 1251 individuals reported in the literature. We show that the infectiousness profile which we calculate correlates well with the viral shedding kinetics from nasopharyngeal swabs (rho=0.97, p=0.00) and culturability (rho=0.83, p=0.01). The profile suggests that a 68.4% (95% CI: 67.0-69.7%) of the infections are caused by infections before the symptoms appear, which is a much stronger pre-symptomatic influence than what was predicted in the literature 44% (95% CI: 25-69%) using serial data from 77 individuals.
与病毒脱落和培养力相关的COVID-19传染性定量估计表明68%的症状前传播
临床诊断为COVID - 19的人可以在症状出现之前和之后的几天内感染他人。在流行病学层面上,关于某人感染程度的信息隐含在序列区间数据中。基于鼻咽拭子和痰中病毒脱落的时间动力学的其他传染性临床指标显示,前者比后者早几周腐烂。在这项工作中,我们试图利用文献中报道的1251个个体的连续间隔数据,为时间传染性概况提供更好的定量估计。我们发现,我们计算的传染性谱与鼻咽拭子的病毒脱落动力学(rho=0.97, p=0.00)和可培养性(rho=0.83, p=0.01)密切相关。该概况表明,68.4% (95% CI: 67.0-69.7%)的感染是由症状出现之前的感染引起的,这比文献中使用77个人的串行数据预测的44% (95% CI: 25-69%)的症状前影响要大得多。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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