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
AUTHORS (13)
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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