Evidence map›Paper›PMID 34029626›Full record

SynthesisThe Journal of hospital infection2021

The efficacy of ultraviolet light-emitting technology against coronaviruses: a systematic review.

F Chiappa, B Frascella, G P Vigezzi, M Moro, L Diamanti, L Gentile, P Lago, N Clementi, C Signorelli, N Mancini and 1 more

Abstract readSystematic Review
In one paragraph

Synthesis in The Journal of hospital infection, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
–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

21 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Parametrization of microbial survival models under UVC exposure.Photochemical & photobiological sciences : Official journal of the European Photochemistry Association and the European Society for Photobiology · 2026
    Article
  3. Review
  4. Article
  5. Methods for SARS-CoV-2 hospital disinfection,Infection prevention in practice · 2024
    Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. UV Disinfection Robots: A Review.Robotics and autonomous systems · 2023
    Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  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

11 authors.

F ChiappaSchool of Public Health, University Vita-Salute San Raffaele, Milan, Italy.
B FrascellaSchool of Public Health, University Vita-Salute San Raffaele, Milan, Italy.
G P VigezziSchool of Public Health, University Vita-Salute San Raffaele, Milan, Italy.
M MoroInfection Control Committee, IRCCS San Raffaele Hospital, Milan, Italy.
L DiamantiClinical Engineering Unit, IRCCS San Raffaele Hospital, Milan, Italy; HTA Committee, IRCCS San Raffaele Hospital, Milan, Italy.
L GentileClinical Engineering Unit, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy.
P LagoClinical Engineering Unit, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy.
N ClementiLaboratory of Microbiology and Virology, University Vita-Salute San Raffaele, Milan, Italy.
C SignorelliSchool of Medicine, University Vita-Salute San Raffaele, Milan, Italy.
N ManciniLaboratory of Microbiology and Virology, University Vita-Salute San Raffaele, Milan, Italy.
A OdoneHTA Committee, IRCCS San Raffaele Hospital, Milan, Italy; Department of Public Health, Experimental and Forensic Medicine, University of Pavia, Pavia, Italy. Electronic address: anna.odone@unipv.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The ongoing pandemic of COVID-19 has underlined the importance of adopting effective infection prevention and control (IPC) measures in hospital and community settings. Ultraviolet (UV)-based technologies represent promising IPC tools: their effective application for sanitation has been extensively evaluated in the past but scant, heterogeneous and inconclusive evidence is available on their effect on SARS-CoV-2 transmission. With the aim of pooling the available evidence on the efficacy of UV technologies against coronaviruses, we conducted a systematic review following PRISMA guidelines, searching Medline, Embase and the Cochrane Library, and the main clinical trials' registries (WHO ICTRP, ClinicalTrials.gov, Cochrane and EU Clinical Trial Register). Quantitative data on studies' interventions were summarized in tables, pooled by different coronavirus species and strain, UV source, characteristics of UV light exposure and outcomes. Eighteen papers met our inclusion criteria, published between 1972 and 2020. Six focused on SARS-CoV-2, four on SARS-CoV-1, one on MERS-CoV, three on seasonal coronaviruses, and four on animal coronaviruses. All were experimental studies. Overall, despite wide heterogenicity within included studies, complete inactivation of coronaviruses on surfaces or aerosolized, including SARS-CoV-2, was reported to take a maximum exposure time of 15 min and to need a maximum distance from the UV emitter of up to 1 m. Advances in UV-based technologies in the field of sanitation and their proved high virucidal potential against SARS-CoV-2 support their use for IPC in hospital and community settings and their contribution towards ending the COVID-19 pandemic. National and international guidelines are to be updated and parameters and conditions of use need to be identified to ensure both efficacy and safety of UV technology application for effective infection prevention and control in both healthcare and non-healthcare settings.

Indexed as

COVID-19Ultraviolet RaysAnimalsCoronavirusHumansPandemicsSARS-CoV-2TechnologyCoronavirusCOVID-19DisinfectionInfection controlSystematic reviewUltraviolet rays light-emitting technology

Identifiers

PMID34029626
PMCPMC8139389

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.