Evidence map›Paper›PMID 34903908›Full record

ArticleBuilding and environment2022

Computational fluid dynamics simulation of SARS-CoV-2 aerosol dispersion inside a grocery store.

Mingkan Zhang, Prateek Shrestha, Xiaobing Liu, Tugba Turnaoglu, Jason DeGraw, Dustin Schafer, Nathan Love

Open access · hybridAbstract read
In one paragraph

Article in Building and environment, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
3.4field-weighted citation impact, top 6% 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

10 citing papers in PubMed, 29 citations in OpenAlex.

  1. Article
  2. Article
  3. Influence and mechanism of solids on the air pressure fluctuations on the building drainage system.Water science and technology : a journal of the International Association on Water Pollution Research · 2024
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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

7 authors at 1 institution in 1 country.

Mingkan ZhangOak Ridge National Laboratory, Buildings and Transportation Science Division, Oak Ridge, TN, USA.
Prateek ShresthaOak Ridge National Laboratory, Buildings and Transportation Science Division, Oak Ridge, TN, USA.
Xiaobing LiuOak Ridge National Laboratory, Buildings and Transportation Science Division, Oak Ridge, TN, USA.
Tugba TurnaogluOak Ridge National Laboratory, Buildings and Transportation Science Division, Oak Ridge, TN, USA.
Jason DeGrawOak Ridge National Laboratory, Buildings and Transportation Science Division, Oak Ridge, TN, USA.
Dustin SchaferHenderson Engineers, USA.
Nathan LoveHenderson Engineers, USA.
Oak Ridge National Laboratory · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Grocery stores provide essential services to communities all over the world. The COVID-19 pandemic has necessitated better understanding of the transport and dynamics of aerosolized viruses, particularly for the assessment of infection transmission risk within grocery stores and for other providers of essential services. In this study, a 3D computational fluid dynamics model was developed for a medium-sized grocery store in the United States using Ansys Fluent software. Different cases were simulated of a single infected person releasing viral aerosols with and without wearing a face mask. Results showed characteristic airflow and temperature distribution patterns inside the store that can drive the indoor dispersal of viral aerosols. Unsteady spatial distribution of mean age of air was used as a metric to indirectly quantify areas of higher risk of infection. Several factors affected the localization of suspended viral aerosols. Major recirculation patterns in certain locations of the store caused by persistent eddies were primarily attributed to increased mean age of air. The maximum mean age of air in the grocery store was found to be less than 30 min. Simulation results indicate that, without wearing a face mask, the aerosol particles released from a coughing infected person can be spread throughout nearly one-quarter of the grocery store in less than 6 min. The source-control strategy with a face mask showed significant reduction of viral aerosols being dispersed indoors.

Identifiers

PMID34903908
PMCPMC8656192
OpenAlexW4200354027

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.