Evidence map›Paper›PMID 32836601›Full record

ArticleComputational mechanics2020

Detailed simulation of viral propagation in the built environment.

Rainald Löhner, Harbir Antil, Sergio Idelsohn, Eugenio Oñate

Abstract read
In one paragraph

Article in Computational mechanics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Risk assessment of airborne COVID-19 exposure in social settings.Physics of fluids (Woodbury, N.Y. : 1994) · 2021
    Article
  7. Article
  8. Experimental Investigation of Aerosol and COInternational journal of environmental research and public health · 2021
    Article
  9. High fidelity modeling of aerosol pathogen propagation in built environments with moving pedestrians.International journal for numerical methods in biomedical engineering · 2021
    Article
  10. Assessing the Spatio-temporal Spread of COVID-19 via Compartmental Models with Diffusion in Italy, USA, and Brazil.Archives of computational methods in engineering : state of the art reviews · 2021
    Article
  11. 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
  12. 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
  13. Article
  14. 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.

Rainald LöhnerCenter for Computational Fluid Dynamics, College of Science, George Mason University, Fairfax, VA 22030-4444 USA.
Harbir AntilCenter for Mathematics and Artificial Intelligence, College of Science, George Mason University, Fairfax, VA 22030-4444 USA.
Sergio IdelsohnICREA, Catalan Institution for Research and Advanced Studies, Barcelona, Spain.
Eugenio OñateCIMNE, International Center for Numerical Methods in Engineering, Barcelona, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A summary is given of the mechanical characteristics of virus contaminants and the transmission via droplets and aerosols. The ordinary and partial differential equations describing the physics of these processes with high fidelity are presented, as well as appropriate numerical schemes to solve them. Several examples taken from recent evaluations of the built environment are shown, as well as the optimal placement of sensors.

Indexed as

Computational fluid dynamicsCovid-19Finite elementsParticle methods

Identifiers

PMID32836601
PMCPMC7403197

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.