Evidence map›Paper›PMID 33314624›Full record

ArticleInternational journal for numerical methods in biomedical engineering2021

High fidelity modeling of aerosol pathogen propagation in built environments with moving pedestrians.

Rainald Löhner, Harbir Antil

Open access · bronzeAbstract read
In one paragraph

Article in International journal for numerical methods in biomedical engineering, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.2field-weighted citation impact, top 48% 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

6 citing papers in PubMed, 1 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. High fidelity modeling of aerosol pathogen propagation in built environments with moving pedestrians.International journal for numerical methods in biomedical engineering · 2021
    Article
  5. A Multiscale Approach for the Numerical Simulation of Turbulent Flows with Droplets.Archives of computational methods in engineering : state of the art reviews · 2021
    Article
  6. High-Fidelity Simulation of Pathogen Propagation, Transmission and Mitigation in the Built Environment.Archives of computational methods in engineering : state of the art reviews · 2021
    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

2 authors at 1 institution in 1 country.

Rainald LöhnerGeorge Mason University, Fairfax, VA, USA.ORCID 0000-0003-0083-5131
Harbir AntilGeorge Mason University, Fairfax, VA, USA.
George Mason University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A high fidelity model for the propagation of pathogens via aerosols in the presence of moving pedestrians is proposed. The key idea is the tight coupling of computational fluid dynamics and computational crowd dynamics in order to capture the emission, transport and inhalation of pathogen loads in space and time. An example simulating pathogen propagation in a narrow corridor with moving pedestrians clearly shows the considerable effect that pedestrian motion has on airflow, and hence on pathogen propagation and potential infectivity.

Indexed as

PedestriansAerosolsBuilt EnvironmentCrowdingHumansHydrodynamicsAerosolsaerosolcomputational crowd dynamicscomputational fluid dynamicstransmissionviral infection

Identifiers

PMID33314624
PMCPMC7883236
OpenAlexW3083849053

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.