Mechanistic theory predicts the effects of temperature and humidity on inactivation of SARS-CoV-2 and other enveloped viruses

570 Hot Temperature QH301-705.5 infectious disease Science 610 global health virus Models, Biological Models Humans Biology (General) SARS-CoV-2 Prevention microbiology Q humidity R temperature environmental stability COVID-19 Humidity Biological 3. Good health Emerging Infectious Diseases Infectious Diseases Epidemiology and Global Health Medicine Virus Inactivation epidemiology Biochemistry and Cell Biology
DOI: 10.7554/elife.65902 Publication Date: 2021-04-27T10:01:30Z
ABSTRACT
Ambient temperature and humidity strongly affect inactivation rates of enveloped viruses, but a mechanistic, quantitative theory these effects has been elusive. We measure the stability SARS-CoV-2 on an inert surface at nine conditions develop mechanistic model to explain predict how alter virus inactivation. find survives longest low temperatures extreme relative humidities (RH); median estimated half-life is >24 hr 10°C 40% RH, ∼1.5 27°C 65% RH. Our uses fundamental chemistry why rate increases with increased shows U-shaped dependence The accurately predicts existing measurements five different human coronaviruses, suggesting that shared mechanisms may for many viruses. results indicate scenarios high transmission risk, point mitigation strategies, advance study transmission.
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