Evidence map›Paper›PMID 36845037›Full record

ArticleHeliyon2023

One-year monitoring SARS-CoV-2 RNA surface contamination in hospitals reveals no correlation with organic material and negative pressure as a limiting factor for contamination.

Marianoel Pereira-Gómez, Rodrigo Arce, Diego Ferla, Diego Simón, Cecilia Salazar, Paula Perbolianachis, Alicia Costábile, Alvaro Fajardo, Fabián Aldunate, Nicolás Nin and 4 more

Abstract read
In one paragraph

Article in Heliyon, 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
–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

14 authors.

Marianoel Pereira-GómezLaboratorio de Evolución Experimental de Virus, Institut Pasteur de Montevideo, Uruguay.
Rodrigo ArceLaboratorio de Evolución Experimental de Virus, Institut Pasteur de Montevideo, Uruguay.
Diego FerlaLaboratorio de Evolución Experimental de Virus, Institut Pasteur de Montevideo, Uruguay.
Diego SimónLaboratorio de Evolución Experimental de Virus, Institut Pasteur de Montevideo, Uruguay.
Cecilia SalazarLaboratorio de Genómica Microbiana, Institut Pasteur de Montevideo, Uruguay.
Paula PerbolianachisLaboratorio de Evolución Experimental de Virus, Institut Pasteur de Montevideo, Uruguay.
Alicia CostábileLaboratorio de Evolución Experimental de Virus, Institut Pasteur de Montevideo, Uruguay.
Alvaro FajardoLaboratorio de Evolución Experimental de Virus, Institut Pasteur de Montevideo, Uruguay.
Fabián AldunateLaboratorio de Evolución Experimental de Virus, Institut Pasteur de Montevideo, Uruguay.
Nicolás NinUnidad de Cuidados Intensivos, Hospital Español "Juan José Crottoggini", Administración de Servicios de Salud del Estado, Uruguay.
Javier HurtadoUnidad de Cuidados Intensivos, Hospital Español "Juan José Crottoggini", Administración de Servicios de Salud del Estado, Uruguay.
Gregorio IraolaLaboratorio de Genómica Microbiana, Institut Pasteur de Montevideo, Uruguay.
Pilar MorenoLaboratorio de Evolución Experimental de Virus, Institut Pasteur de Montevideo, Uruguay.
Gonzalo MoratorioLaboratorio de Evolución Experimental de Virus, Institut Pasteur de Montevideo, Uruguay.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding transmission routes of SARS-CoV-2 is crucial to establish effective interventions in healthcare institutions. Although the role of surface contamination in SARS-CoV-2 transmission has been controversial, fomites have been proposed as a contributing factor. Longitudinal studies about SARS-CoV-2 surface contamination in hospitals with different infrastructure (presence or absence of negative pressure systems) are needed to improve our understanding of their effectiveness on patient healthcare and to advance our knowledge about the viral spread. We performed a one-year longitudinal study to evaluate surface contamination with SARS-CoV-2 RNA in reference hospitals. These hospitals have to admit all COVID-19 patients from public health services that require hospitalization. Surfaces samples were molecular tested for SARS-CoV-2 RNA presence considering three factors: the dirtiness by measuring organic material, the circulation of a high transmissibility variant, and the presence or absence of negative pressure systems in hospitalized patients' rooms. Our results show that: (i) There is no correlation between the amount of organic material dirtiness and SARS-CoV-2 RNA detected on surfaces; (ii) SARS-CoV-2 high transmissible Gamma variant introduction significantly increased surface contamination; (iii) the hospital with negative pressure systems was associated with lower levels of SARS-CoV-2 surface contamination and, iv) most environmental samples recovered from contaminated surfaces were assigned as non-infectious. This study provides data gathered for one year about the surface contamination with SARS-CoV-2 RNA sampling hospital settings. Our results suggest that spatial dynamics of SARS-CoV-2 RNA contamination varies according with the type of SARS-CoV-2 genetic variant and the presence of negative pressure systems. In addition, we showed that there is no correlation between the amount of organic material dirtiness and the quantity of viral RNA detected in hospital settings. Our findings suggest that SARS CoV-2 RNA surface contamination monitoring might be useful for the understanding of SARS-CoV-2 dissemination with impact on hospital management and public health policies. This is of special relevance for the Latin-American region where ICU rooms with negative pressure are insufficient.

Indexed as

ATP measurementsCt valueFomitesNegative pressure systemOrganic material dirtinessSARS-CoV2 RNAVariant of concern

Identifiers

PMID36845037
PMCPMC9938536

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LicenceCC BY-NC-ND
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Registered trials

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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.