Evidence map›Paper›PMID 33913555›Full record

ArticleJournal of medical virology2021

Possible effects of air temperature on COVID-19 disease severity and transmission rates.

Dominique Kang, Clifford Ellgen, Erik Kulstad

Abstract read
In one paragraph

Article in Journal of medical virology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Review
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  4. Article
  5. Review
  6. Article
  7. Risks of thermal home remedies for COVID-19.Singapore medical journal · 2024
    Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Review
  13. Article
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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

3 authors.

Dominique KangDepartment of Theoretical Physics, Pacific Theoretical Physics and Mathematics Research, Pasadena, California, USA.ORCID http://orcid.org/0000-0003-3005-968X
Clifford EllgenDepartment of Theoretical Physics, Pacific Theoretical Physics and Mathematics Research, Pasadena, California, USA.ORCID https://orcid.org/0000-0002-8814-9621
Erik KulstadDepartment of Emergency Medicine, UT Southwestern Medical Center, Dallas, Texas, USA.ORCID https://orcid.org/0000-0002-9331-8266

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Currently available data are consistent with increased severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) replication at temperatures encountered in the upper airways (25-33°C when breathing room temperature air, 25°C) compared to those in the lower airways (37°C). One factor that may contribute to more rapid viral growth in the upper airways is the exponential increase in SARS-CoV-2 stability that occurs with reductions in temperature, as measured in vitro. Because SARS-CoV-2 frequently initiates infection in the upper airways before spreading through the body, increased upper airway viral growth early in the disease course may result in more rapid progression of disease and potentially contribute to more severe outcomes. Similarly, higher SARS-CoV-2 viral titer in the upper airways likely supports more efficient transmission. Conversely, the possible significance of air temperature to upper airway viral growth suggests that prolonged delivery of heated air might represent a preventative measure and prophylactic treatment for coronavirus disease 2019.

Indexed as

TemperatureAirCOVID-19HumansHumidityNasopharynxPost-Exposure ProphylaxisSARS-CoV-2Severity of Illness IndexThermodynamicsTracheaVirus Replicationair temperatureCOVID-19thermodynamicsvirology

Identifiers

PMID33913555
PMCPMC8242372

What OpenQuestion holds

Textmetadata
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.