Author: Guillier, L.; Martin-Latil, S.; Chaix, E.; Thebault, A.; Pavio, N.; Le Poder, S.; Batejat, C.; Biot, F.; Koch, L.; Schaffner, D.; Sanaa, M.
Title: Modelling the thermal inactivation of viruses from the Coronaviridae family in suspensions or on surfaces with various relative humidities. Cord-id: 4hbwg18z Document date: 2020_5_29
ID: 4hbwg18z
Snippet: Temperature and relative humidity are major factors determining virus inactivation in the environment. This article reviews inactivation data of 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 (time to obtain a log10 reduction of virus infectivity), including values for SARS-CoV-2, were collected from 26 published studies. The values obta
Document: Temperature and relative humidity are major factors determining virus inactivation in the environment. This article reviews inactivation data of 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 (time to obtain a log10 reduction of virus infectivity), including values for 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 dataset 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 new coronavirus strains.
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