Evidence map›Paper›PMID 32817726›Full record

ArticleApplied physics letters2020

A predictive model of the temperature-dependent inactivation of coronaviruses.

Te Faye Yap, Zhen Liu, Rachel A Shveda, Daniel J Preston

Abstract read
In one paragraph

Article in Applied physics letters, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
–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

33 citing papers in PubMed.

  1. Trial
  2. The Nature of Non-Arrhenius Kinetics in the Heat Denaturation of Proteins.International journal of molecular sciences · 2026
    Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Transmission of SARS-CoV-2 in the workplace: Key findings from a rapid review of the literature.Aerosol science and technology : the journal of the American Association for Aerosol Research · 2023
    Article
  11. Article
  12. Article
  13. Article
  14. A general theory for temperature dependence in biology.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  15. Article
  16. Rapid thermal inactivation of aerosolized SARS-CoV-2.Journal of virological methods · 2022
    Article
  17. Review
  18. Article
  19. COVID-19 mortality and exposure to airborne PMThe Science of the total environment · 2022
    Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Te Faye YapDepartment of Mechanical Engineering, Rice University, 6100 Main Street, Houston, Texas 77005, USA.ORCID https://orcid.org/0000-0001-6387-0837
Zhen LiuDepartment of Mechanical Engineering, Rice University, 6100 Main Street, Houston, Texas 77005, USA.ORCID https://orcid.org/0000-0002-1089-5982
Rachel A ShvedaDepartment of Mechanical Engineering, Rice University, 6100 Main Street, Houston, Texas 77005, USA.ORCID https://orcid.org/0000-0003-4902-9704
Daniel J PrestonDepartment of Mechanical Engineering, Rice University, 6100 Main Street, Houston, Texas 77005, USA.ORCID https://orcid.org/0000-0002-0096-0285

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 pandemic has stressed healthcare systems and supply lines, forcing medical doctors to risk infection by decontaminating and reusing single-use personal protective equipment. The uncertain future of the pandemic is compounded by limited data on the ability of the responsible virus, SARS-CoV-2, to survive across various climates, preventing epidemiologists from accurately modeling its spread. However, a detailed thermodynamic analysis of experimental data on the inactivation of SARS-CoV-2 and related coronaviruses can enable a fundamental understanding of their thermal degradation that will help model the COVID-19 pandemic and mitigate future outbreaks. This work introduces a thermodynamic model that synthesizes existing data into an analytical framework built on first principles, including the rate law for a first-order reaction and the Arrhenius equation, to accurately predict the temperature-dependent inactivation of coronaviruses. The model provides much-needed thermal decontamination guidelines for personal protective equipment, including masks. For example, at 70 °C, a 3-log (99.9%) reduction in virus concentration can be achieved, on average, in 3 min (under the same conditions, a more conservative decontamination time of 39 min represents the upper limit of a 95% interval) and can be performed in most home ovens without reducing the efficacy of typical N95 masks as shown in recent experimental reports. This model will also allow for epidemiologists to incorporate the lifetime of SARS-CoV-2 as a continuous function of environmental temperature into models forecasting the spread of the pandemic across different climates and seasons.

Identifiers

PMID32817726
PMCPMC7428726

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.