Evidence map›Paper›PMID 39687230›Full record

ArticleQRB discovery2024

As air relative humidity increases, infectivity of SARS-CoV-2 decreases within water droplets.

Yu Liu, Lei Cao, Yu Xia, Pan Pan, Lang Rao, Bolei Chen, Richard N Zare

Abstract read
In one paragraph

Article in QRB discovery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Yu LiuInstitute of Biomedical Health Technology and Engineering, Shenzhen Bay Laboratory, Shenzhen, P. R. China.
Lei CaoInstitute of Biomedical Health Technology and Engineering, Shenzhen Bay Laboratory, Shenzhen, P. R. China.
Yu XiaHubei Key Laboratory of Environmental and Health Effects of Persistent Toxic Substances, School of Environment and Health, Jianghan University, Wuhan, P. R. China.
Pan PanSchool of Basic Medical Sciences, Guangzhou Medical University, Guangzhou, P. R. China.
Lang RaoInstitute of Biomedical Health Technology and Engineering, Shenzhen Bay Laboratory, Shenzhen, P. R. China.
Bolei ChenHubei Key Laboratory of Environmental and Health Effects of Persistent Toxic Substances, School of Environment and Health, Jianghan University, Wuhan, P. R. China.
Richard N ZareDepartment of Chemistry, Stanford University, Stanford, CA, USA.ORCID https://orcid.org/0000-0001-5266-4253

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Water droplets containing the SARS-CoV-2 virus, responsible for coronavirus 2019 transmission, were introduced into a controlled-temperature and -humidity chamber. The SARS-CoV-2 virus with green fluorescent protein tag in droplets was used to infect Caco-2 cells, with viability assessed through flow cytometry and microscopic counting. Whereas temperature fluctuations within typical indoor ranges (20°C-30°C) had minimal impact, we observed a notable decrease in infection rate as the surrounding air's relative humidity increased. By investigating humidity levels between 20% and 70%, we identified a threshold of ≥40% relative humidity as most effective in diminishing SARS-CoV-2 infectivity. We also found that damage of the viral proteins under high relative humidity may be responsible for the decrease in their activity. This outcome supports previous research demonstrating a rise in the concentration of reactive oxygen species within water droplets with elevated relative humidity.

Indexed as

air humiditymicrodropletsreactive oxygen speciesSARS-CoV-2

Identifiers

PMID39687230
PMCPMC11649373

What OpenQuestion holds

Textmetadata
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.