Evidence map›Paper›PMID 37845540›Full record

Observational studyScientific reports2023

Peak risk of SARS-CoV-2 infection within 5 s of face-to-face encounters: an observational/retrospective study.

Takeshi Asai, Erina Kurosaki, Kaoru Kimachi, Masao Nakayama, Masaaki Koido, Sungchan Hong

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in Scientific reports, 2023. 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
0.8field-weighted citation impact, top 24% of its field
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, 3 citations in OpenAlex.

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

6 authors at 1 institution in 1 country.

Takeshi AsaiFaculty of Health and Sports Sciences, University of Tsukuba, Tennodai 1-1-1, Tsukuba, 305-8574, Japan. asai.takeshi.gf@u.tsukuba.ac.jp.
Erina KurosakiFaculty of Health and Sports Sciences, University of Tsukuba, Tennodai 1-1-1, Tsukuba, 305-8574, Japan.
Kaoru KimachiFaculty of Health and Sports Sciences, University of Tsukuba, Tennodai 1-1-1, Tsukuba, 305-8574, Japan.
Masao NakayamaFaculty of Health and Sports Sciences, University of Tsukuba, Tennodai 1-1-1, Tsukuba, 305-8574, Japan.
Masaaki KoidoFaculty of Health and Sports Sciences, University of Tsukuba, Tennodai 1-1-1, Tsukuba, 305-8574, Japan.
Sungchan HongFaculty of Health and Sports Sciences, University of Tsukuba, Tennodai 1-1-1, Tsukuba, 305-8574, Japan.
University of Tsukuba · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The link between aerosol dynamics and viral exposure risk is not fully understood, particularly during movement and face-to-face interactions. To investigate this, we employed Particle Trace Velocimetry with a laser sheet and a high-speed camera to measure microparticles from a human mannequin's mouth. The average peak time in the non-ventilated condition (expiratory volume, 30 L; passing speed, 5 km/h) was 1.33 s (standard deviation = 0.32 s), while that in the ventilated condition was 1.38 s (standard deviation = 0.35 s). Our results showed that the peak of viral exposure risk was within 5 s during face-to-face encounters under both ventilated and non-ventilated conditions. Moreover, the risk of viral exposure greatly decreased in ventilated conditions compared to non-ventilated conditions. Based on these findings, considering a risk mitigation strategy for the duration of 5 s during face-to-face encounters is expected to significantly reduce the risk of virus exposure in airborne transmission.

Indexed as

COVID-19FaceHumansRespiratory Aerosols and DropletsRetrospective StudiesSARS-CoV-2

Identifiers

PMID37845540
PMCPMC10579401
OpenAlexW4387669086

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.