Evidence map›Paper›PMID 33642664›Full record

ArticleApplied mathematical modelling2021

Modeling airborne pathogen transport and transmission risks of SARS-CoV-2.

Clifford K Ho

Abstract read
In one paragraph

Article in Applied mathematical modelling, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Infection risk assessment and safe contact distance determination for multi-nozzle water spray aerosols using a DPM-QMRA approach.Water science and technology : a journal of the International Association on Water Pollution Research · 2026
    Article
  2. Methodology of Epidemic Risk Analysis in the Naval Military.International journal of environmental research and public health · 2025
    Review
  3. Article
  4. Article
  5. Air Change Rate and SARS-CoV-2 Exposure in Hospitals and Residences: A Meta-Analysis.Aerosol science and technology : the journal of the American Association for Aerosol Research · 2024
    Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Characterizing respiratory aerosol emissions during sustained phonation.Journal of exposure science & environmental epidemiology · 2022
    Article
  12. The COVID-19 pandemic: Virus transmission and risk assessment.Current opinion in environmental science & health · 2022
    Review
  13. Review
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. 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

1 author.

Clifford K HoSandia National Laboratories, P.O. Box 5800, MS-1127, Albuquerque, NM 87185, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An integrated modeling approach has been developed to better understand the relative impacts of different expiratory and environmental factors on airborne pathogen transport and transmission, motivated by the recent COVID-19 pandemic. Computational fluid dynamics (CFD) modeling was used to simulate spatial-temporal aerosol concentrations and quantified risks of exposure as a function of separation distance, exposure duration, environmental conditions (e.g., airflow/ventilation), and face coverings. The CFD results were combined with infectivity models to determine probability of infection, which is a function of the spatial-temporal aerosol concentrations, viral load, infectivity rate, viral viability, lung-deposition probability, and inhalation rate. Uncertainty distributions were determined for these parameters from the literature. Probabilistic analyses were performed to determine cumulative distributions of infection probabilities and to determine the most important parameters impacting transmission. This modeling approach has relevance to both pathogen and pollutant dispersion from expelled aerosol plumes.

Indexed as

Aerosol transportAirborne transmissionExposure riskProbabilistic modeling

Identifiers

PMID33642664
PMCPMC7902220

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.