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Mechanistic theory predicts the effects of temperature and humidity on inactivation of SARS-CoV-2 and other enveloped viruses.
Morris, Dylan H; Yinda, Kwe Claude; Gamble, Amandine; Rossine, Fernando W; Huang, Qishen; Bushmaker, Trenton; Fischer, Robert J; Matson, M Jeremiah; Van Doremalen, Neeltje; Vikesland, Peter J; Marr, Linsey C; Munster, Vincent J; Lloyd-Smith, James O.
  • Morris DH; Department of Ecology and Evolutionary Biology, Princeton University, Princeton, United States.
  • Yinda KC; Department of Ecology and Evolutionary Biology, University of California, Los Angeles, Los Angeles, United States.
  • Gamble A; Rocky Mountain Laboratories, National Institute of Allergy and Infectious Diseases, Hamilton, United States.
  • Rossine FW; Department of Ecology and Evolutionary Biology, University of California, Los Angeles, Los Angeles, United States.
  • Huang Q; Department of Ecology and Evolutionary Biology, Princeton University, Princeton, United States.
  • Bushmaker T; Department of Civil and Environmental Engineering, Virginia Tech, Blacksburg, United States.
  • Fischer RJ; Rocky Mountain Laboratories, National Institute of Allergy and Infectious Diseases, Hamilton, United States.
  • Matson MJ; Rocky Mountain Laboratories, National Institute of Allergy and Infectious Diseases, Hamilton, United States.
  • Van Doremalen N; Rocky Mountain Laboratories, National Institute of Allergy and Infectious Diseases, Hamilton, United States.
  • Vikesland PJ; Joan C. Edwards School of Medicine, Marshall University, Huntington, United States.
  • Marr LC; Rocky Mountain Laboratories, National Institute of Allergy and Infectious Diseases, Hamilton, United States.
  • Munster VJ; Department of Civil and Environmental Engineering, Virginia Tech, Blacksburg, United States.
  • Lloyd-Smith JO; Department of Civil and Environmental Engineering, Virginia Tech, Blacksburg, United States.
Elife ; 102021 07 13.
Article in English | MEDLINE | ID: covidwho-1389776
ABSTRACT
Ambient temperature and humidity strongly affect inactivation rates of enveloped viruses, but a mechanistic, quantitative theory of these effects has been elusive. We measure the stability of SARS-CoV-2 on an inert surface at nine temperature and humidity conditions and develop a mechanistic model to explain and predict how temperature and humidity alter virus inactivation. We find SARS-CoV-2 survives longest at low temperatures and extreme relative humidities (RH); median estimated virus half-life is >24 hr at 10°C and 40% RH, but ∼1.5 hr at 27°C and 65% RH. Our mechanistic model uses fundamental chemistry to explain why inactivation rate increases with increased temperature and shows a U-shaped dependence on RH. The model accurately predicts existing measurements of five different human coronaviruses, suggesting that shared mechanisms may affect stability for many viruses. The results indicate scenarios of high transmission risk, point to mitigation strategies, and advance the mechanistic study of virus transmission.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Virus Inactivation / SARS-CoV-2 / Hot Temperature / Humidity / Models, Biological Type of study: Experimental Studies / Prognostic study Limits: Humans Language: English Year: 2021 Document Type: Article Affiliation country: ELIFE.65902

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Virus Inactivation / SARS-CoV-2 / Hot Temperature / Humidity / Models, Biological Type of study: Experimental Studies / Prognostic study Limits: Humans Language: English Year: 2021 Document Type: Article Affiliation country: ELIFE.65902