Evidence map›Paper›PMID 35627815›Full record

ArticleInternational journal of environmental research and public health2022

Numerical Flow Simulation on the Virus Spread of SARS-CoV-2 Due to Airborne Transmission in a Classroom.

Lara Moeller, Florian Wallburg, Felix Kaule, Stephan Schoenfelder

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Lara MoellerFaculty of Engineering, Leipzig University of Applied Sciences, 04277 Leipzig, Germany.ORCID 0000-0003-4409-0821
Florian WallburgFaculty of Engineering, Leipzig University of Applied Sciences, 04277 Leipzig, Germany.ORCID 0000-0002-4343-1885
Felix KauleFaculty of Engineering, Leipzig University of Applied Sciences, 04277 Leipzig, Germany.ORCID 0000-0002-8501-9573
Stephan SchoenfelderFaculty of Engineering, Leipzig University of Applied Sciences, 04277 Leipzig, Germany.ORCID 0000-0002-3429-0195

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In order to continue using highly frequented rooms such as classrooms, seminar rooms, offices, etc., any SARS-CoV-2 virus concentration that may be present must be kept low or reduced through suitable ventilation measures. In this work, computational fluid dynamics (CFD) is used to develop a virtual simulation model for calculating and analysing the viral load due to airborne transmission in indoor environments aiming to provide a temporally and spatially-resolved risk assessment with explicit relation to the infectivity of SARS-CoV-2. In this work, the first results of the model and method are presented. In particular, the work focuses on a critical area of the education infrastructure that has suffered severely from the pandemic: classrooms. In two representative classroom scenarios (teaching and examination), the duration of stay for low risk of infection is investigated at different positions in the rooms for the case that one infectious person is present. The results qualitatively agree well with a documented outbreak in an elementary school but also show, in comparisons with other published data, how sensitive the assessment of the infection risk is to the amount of virus emitted on the individual amount of virus required for infection, as well as on the supply air volume. In this regard, the developed simulation model can be used as a useful virtual assessment for a detailed seat-related overview of the risk of infection, which is a significant advantage over established analytical models.

Indexed as

COVID-19SARS-CoV-2Computer SimulationDisease OutbreaksHumansVentilationairbone transmissionCFDenvironmental science and engineeringindoor airinfection riskpublic healthSARS-CoV-2ventilation

Identifiers

PMID35627815
PMCPMC9141221

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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.