Evidence map›Paper›PMID 38620951›Full record

ArticleGeoscience frontiers2022

Geo-environmental parametric 3D models of SARS-CoV-2 virus circulation in hospital ventilation systems.

Carla Gabriela Carlot Zorzi, Alcindo Neckel, Laércio Stolfo Maculan, Grace Tibério Cardoso, Leila Dal Moro, Alexandre Almeida Del Savio, Leopoldo D Z Carrasco, Marcos L S Oliveira, Eliane Thaines Bodah, Brian William Bodah

Open access · hybridAbstract read
In one paragraph

Article in Geoscience frontiers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.1field-weighted citation impact, top 12% 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

4 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. 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

10 authors at 3 institutions in 4 countries.

Carla Gabriela Carlot ZorziFaculdade Meridional, IMED, 304- Passo Fundo - RS 99070-220, Brazil.
Alcindo NeckelFaculdade Meridional, IMED, 304- Passo Fundo - RS 99070-220, Brazil.
Laércio Stolfo MaculanFaculdade Meridional, IMED, 304- Passo Fundo - RS 99070-220, Brazil.
Grace Tibério CardosoFaculdade Meridional, IMED, 304- Passo Fundo - RS 99070-220, Brazil.
Leila Dal MoroFaculdade Meridional, IMED, 304- Passo Fundo - RS 99070-220, Brazil.
Alexandre Almeida Del SavioUniversidad de Lima, Avenida Javier Prado Este 4600 - Santiago de Surco 1503, Peru.
Leopoldo D Z CarrascoUniversidad de Lima, Avenida Javier Prado Este 4600 - Santiago de Surco 1503, Peru.
Marcos L S OliveiraUniversidad de Lima, Avenida Javier Prado Este 4600 - Santiago de Surco 1503, Peru.
Eliane Thaines BodahState University of New York, Onondaga Community College, 4585 West Seneca Turnpike, Syracuse, NY 13215, USA.
Brian William BodahFaculdade Meridional, IMED, 304- Passo Fundo - RS 99070-220, Brazil.
Atitus Educação · BRUniversidad de Lima · PEState University of New York · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The novel coronavirus, SARS-CoV-2, has the potential to cause natural ventilation systems in hospital environments to be rendered inadequate, not only for workers but also for people who transit through these environments even for a limited duration. Studies in of the fields of geosciences and engineering, when combined with appropriate technologies, allow for the possibility of reducing the impacts of the SARS-CoV-2 virus in the environment, including those of hospitals which are critical centers for healthcare. In this work, we build parametric 3D models to assess the possible circulation of the SARS-CoV-2 virus in the natural ventilation system of a hospital built to care infected patients during the COVID-19 pandemic. Building Information Modeling (BIM) was performed, generating 3D models of hospital environments utilizing Revit software for Autodesk CFD 2021. The evaluation considered dimensional analyses of 0°, 45°, 90° and 180°. The analysis of natural ventilation patterns on both internal and external surfaces and the distribution of windows in relation to the displacement dynamics of the SARS-CoV-2 virus through the air were considered. The results showed that in the external area of the hospital, the wind speed reached velocities up to 2.1 m/s when entering the building through open windows. In contact with the furniture, this value decreased to 0.78 m/s. In some internal isolation wards that house patients with COVID-19, areas that should be equipped with negative room pressure, air velocity was null. Our study provides insights into the possibility of SARS-CoV-2 contamination in internal hospital environments as well as external areas surrounding hospitals, both of which encounter high pedestrian traffic in cities worldwide.

Indexed as

ContaminationCOVID-19 global epidemicDimensional analysisHospital environmentWind velocity

Identifiers

PMID38620951
PMCPMC8349361
OpenAlexW3187771760

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.