Modeling the inactivation of viruses from the Coronaviridae family in response to temperature and relative humidity in suspensions or on surfaces

Laurent Guillier, Sandra Martin-Latil, Estelle Chaix, Anne Thébault, Nicole Pavio, Sophie Le Poder, Christophe Batéjat, Fabrice Biot, Lionel Koch, Donald W. Schaffner, Moez Sana

Research output: Contribution to journalArticlepeer-review

25 Scopus citations

Abstract

Temperature and relative humidity are major factors determining virus inactivation in the environment. This article reviews inactivation data regarding coronaviruses on surfaces and in liquids from published studies and develops secondary models to predict coronaviruses inactivation as a function of temperature and relative humidity. A total of 102 D values (i.e., the time to obtain a log10 reduction of virus infectivity), including values for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), were collected from 26 published studies. The values obtained from the different coronaviruses and studies were found to be generally consistent. Five different models were fitted to the global data set of D values. The most appropriate model considered temperature and relative humidity. A spreadsheet predicting the inactivation of coronaviruses and the associated uncertainty is presented and can be used to predict virus inactivation for untested temperatures, time points, or any coronavirus strains belonging to Alphacoronavirus and Betacoronavirus genera.

Original languageEnglish (US)
Article numbere01244
JournalApplied and environmental microbiology
Volume86
Issue number18
DOIs
StatePublished - Sep 1 2020

All Science Journal Classification (ASJC) codes

  • Biotechnology
  • Food Science
  • Ecology
  • Applied Microbiology and Biotechnology

Keywords

  • Coronavirus
  • Fomites
  • Modeling
  • Persistence
  • SARS-CoV-2

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