Aerosol and surface stability of HCoV-19 (SARS-CoV-2) compared to SARS-CoV-1 6
Aerosol and surface stability of HCoV-19 (SARS-CoV-2) compared to SARS-CoV-1 6
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发表时间：
2020
影响因子：
8.6
通讯作者：
N. V. Doremalen;T. Bushmaker;Dylan H. Morris;M. Holbrook;Amandine Gamble;Brandi N Williamson;A. Tamin-A.-Ta
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文献类型：
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作者：
N. V. Doremalen;T. Bushmaker;Dylan H. Morris;M. Holbrook;Amandine Gamble;Brandi N Williamson;A. Tamin-A.-Ta
人类冠状病毒-19(SARS-2)已造成8.8万例报告疾病，目前的病死率为~2%。在这里，我们调查了活的HCoV-19在表面和气溶胶中的稳定性，并与SARS-34 CoV-1进行了比较。总体而言，HCoV-19和SARS-CoV-1的稳定性非常相似。我们发现，在气雾化后3小时，铜上可以检测到活病毒35，36纸板上可以检测到24小时，塑料和不锈钢上可以检测到2-3天。HCoV-19和SARS-CoV-1在气雾剂中的半衰期相似，估计中值约为2.7小时。与铜或纸板相比，这两种病毒在不锈钢和聚丙烯上显示出相对较长的存活时间：39HCoV-19在钢铁上的半衰期中值约为13小时，在聚丙烯上的半衰期约为16小时。我们的结果表明，HCoV-19在40个气溶胶和甲壳虫中的传播是可信的，因为病毒可以在气溶胶中存活41个小时，并在表面上存活长达数天。使用88贝叶斯回归模型计算活病毒滴度的衰减率。这种建模方法使我们能够考虑不同重复的初始89个接种量水平的差异，以及90个实验噪声的滴度数据和其他来源的间隔审查。该模型得到了各种实验条件下病毒衰减率和半衰期的后验分布的估计--即，给出了我们的数据，估计了这92个参数的似是而非的值的范围，并估计了总体的不确定性。17我们在补充材料中更详细地描述了我们的建模93方法。
HCoV-19 (SARS-2) has caused >88,000 reported illnesses with a current case-fatality ratio of ~2%. Here, 33 we investigate the stability of viable HCoV-19 on surfaces and in aerosols in comparison with SARS- 34 CoV-1. Overall, stability is very similar between HCoV-19 and SARS-CoV-1. We found that viable virus 35 could be detected in aerosols up to 3 hours post aerosolization, up to 4 hours on copper, up to 24 hours on 36 cardboard and up to 2-3 days on plastic and stainless steel. HCoV-19 and SARS-CoV-1 exhibited similar 37 half-lives in aerosols, with median estimates around 2.7 hours. Both viruses show relatively long viability 38 on stainless steel and polypropylene compared to copper or cardboard: the median half-life estimate for 39 HCoV-19 is around 13 hours on steel and around 16 hours on polypropylene. Our results indicate that 40 aerosol and fomite transmission of HCoV-19 is plausible, as the virus can remain viable in aerosols for 41 multiple hours and on surfaces up to days. decay rates of viable virus titers using a 88 Bayesian regression model. This modeling approach allowed us to account for differences in initial 89 inoculum levels across replicates, as well as interval-censoring of titer data and other sources of 90 experimental noise. The model yields estimates of posterior distributions of viral decay rates and half- 91 lives in the various experimental conditions – that is, estimates of the range of plausible values for these 92 parameters given our data, with an estimate of the overall uncertainty. 17 We describe our modeling 93 approach in more detail in the Supplemental Materials.