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

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.

Document Details

Document Type
Pub Defense Publication
Publication Date
Jul 13, 2021
Source ID
10.7554/elife.65902

Entities

People

  • Amandine Gamble
  • Claude Kwe Yinda
  • Dylan H Morris
  • Fernando W. Rossine
  • James O. Lloyd-Smith
  • Linsey Marr
  • Matthew Matson
  • Neeltje van Doremalen
  • Peter J Vikesland
  • Qishen Huang
  • Robert J. Fischer
  • Trenton Bushmaker
  • Vincent J. Munster

Organizations

  • Defense Advanced Research Projects Agency
  • Marshall University
  • National Institute of Allergy and Infectious Diseases
  • National Science Foundation
  • Princeton University
  • Rocky Mountain Laboratories
  • Strategic Environmental Research and Development Program
  • University of California
  • Virginia Tech

Tags

Readers

  • Computational Modeling and Simulation
  • Infectious Disease/Epidemiology
  • Mathematics or Statistics