Evidence map›Paper›PMID 32673522›Full record

ArticleEmerging microbes & infections2020

Rapid inactivation of SARS-CoV-2 with deep-UV LED irradiation.

Hiroko Inagaki, Akatsuki Saito, Hironobu Sugiyama, Tamaki Okabayashi, Shouichi Fujimoto

Open access · goldAbstract readLetter
In one paragraph

Article in Emerging microbes & infections, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 111 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
111citing papers in PubMed, 1 pooled it
32.9field-weighted citation impact, top 1% 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

111 citing papers in PubMed, 1 synthesis or guideline pooled it, 297 citations in OpenAlex.

  1. Pooled it
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  15. Pollution free UV-C radiation to mitigate COVID-19 transmission.Gondwana research : international geoscience journal · 2023
    Article
  16. 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
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51 more citing papers are in PubMed but not listed here.

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

5 authors at 1 institution in 1 country.

Hiroko InagakiM&N Collaboration Research Laboratory, Department of Medical Environment Innovation, Faculty of Medicine, University of Miyazaki, Miyazaki, Japan.
Akatsuki SaitoDepartment of Veterinary Science, Faculty of Agriculture, University of Miyazaki, Miyazaki, Japan.ORCID https://orcid.org/0000-0002-2792-4399
Hironobu SugiyamaM&N Collaboration Research Laboratory, Department of Medical Environment Innovation, Faculty of Medicine, University of Miyazaki, Miyazaki, Japan.
Tamaki OkabayashiDepartment of Veterinary Science, Faculty of Agriculture, University of Miyazaki, Miyazaki, Japan.
Shouichi FujimotoDepartment of Hemovascular Medicine and Artificial Organs, Faculty of Medicine, University of Miyazaki, Miyazaki, Japan.ORCID https://orcid.org/0000-0002-0025-4030
University of Miyazaki · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The spread of novel coronavirus disease 2019 (COVID-19) infections worldwide has raised concerns about the prevention and control of SARS-CoV-2. Devices that rapidly inactivate viruses can reduce the chance of infection through aerosols and contact transmission. This

Indexed as

AnimalsBetacoronavirusCell SurvivalChlorocebus aethiopsCoronavirus InfectionsCOVID-19DecontaminationHumansPandemicsPneumonia, ViralSARS-CoV-2Ultraviolet RaysVero CellsVirus Inactivationantiviral efficacycontact transmissionCOVID-19deep-UV LEDfomite infectioninactivationSARS-CoV-2

Identifiers

PMID32673522
PMCPMC7473214
OpenAlexW3043776404

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.