Evidence map›Paper›PMID 33904403›Full record

ArticleeLife2021

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

Dylan H Morris, Kwe Claude Yinda, Amandine Gamble, Fernando W Rossine, Qishen Huang, Trenton Bushmaker, Robert J Fischer, M Jeremiah Matson, Neeltje Van Doremalen, Peter J Vikesland and 3 more

Abstract read
In one paragraph

Article in eLife, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 130 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
130citing papers in PubMed, 5 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

130 citing papers in PubMed, 5 syntheses or guidelines pooled it.

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70 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors.

Dylan H Morris *Department of Ecology and Evolutionary Biology, Princeton University, Princeton, United States.ORCID 0000-0002-3655-406X
Kwe Claude Yinda *Rocky Mountain Laboratories, National Institute of Allergy and Infectious Diseases, Hamilton, United States.ORCID 0000-0002-5195-5478
Amandine Gamble *Department of Ecology and Evolutionary Biology, University of California, Los Angeles, Los Angeles, United States.ORCID 0000-0001-5430-9124
Fernando W RossineDepartment of Ecology and Evolutionary Biology, Princeton University, Princeton, United States.
Qishen HuangDepartment of Civil and Environmental Engineering, Virginia Tech, Blacksburg, United States.ORCID 0000-0002-8493-5799
Trenton BushmakerRocky Mountain Laboratories, National Institute of Allergy and Infectious Diseases, Hamilton, United States.ORCID 0000-0002-2161-4808
Robert J FischerRocky Mountain Laboratories, National Institute of Allergy and Infectious Diseases, Hamilton, United States.ORCID 0000-0002-1816-472X
M Jeremiah MatsonRocky Mountain Laboratories, National Institute of Allergy and Infectious Diseases, Hamilton, United States.ORCID 0000-0003-3404-1380
Neeltje Van DoremalenRocky Mountain Laboratories, National Institute of Allergy and Infectious Diseases, Hamilton, United States.ORCID 0000-0003-4368-6359
Peter J VikeslandDepartment of Civil and Environmental Engineering, Virginia Tech, Blacksburg, United States.ORCID 0000-0003-2654-5132
Linsey C MarrDepartment of Civil and Environmental Engineering, Virginia Tech, Blacksburg, United States.ORCID 0000-0003-3628-6891
Vincent J MunsterRocky Mountain Laboratories, National Institute of Allergy and Infectious Diseases, Hamilton, United States.
James O Lloyd-SmithDepartment of Ecology and Evolutionary Biology, University of California, Los Angeles, Los Angeles, United States.ORCID 0000-0001-7941-502X

Funding

Defense Advanced Research Projects Agency D18AC00031National Institute of Allergy and Infectious Diseases Intramural Research ProgramNational Science Foundation CBET-1705653National Science Foundation CBET-2029911National Science Foundation CCF 1917819National Science Foundation DEB-1557022Strategic Environmental Research and Development Program RC-2635Strategic Environmental Research and Development Program RC‐2635
6 · The paper itself

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.

Indexed as

Hot TemperatureHumidityModels, BiologicalVirus InactivationCOVID-19HumansSARS-CoV-2COVID-19environmental stabilityepidemiologyglobal healthhumidityinfectious diseasemicrobiologySARS-CoV-2temperaturevirus

Identifiers

PMID33904403
PMCPMC8277363

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.