Evidence map›Paper›PMID 22615902›Full record

ArticlePloS one2012

A comprehensive breath plume model for disease transmission via expiratory aerosols.

Siobhan K Halloran, Anthony S Wexler, William D Ristenpart

Abstract read
In one paragraph

Article in PloS one, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
–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

21 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. End-to-end design of wearable sensors.Nature reviews. Materials · 2022
    Review
  4. Article
  5. Article
  6. Article
  7. Effect of Train-Induced Wind on the Transmission of COVID-19: A New Insight into Potential Infectious Risks.International journal of environmental research and public health · 2021
    Article
  8. Article
  9. Article
  10. 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
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Crossing the scale from within-host infection dynamics to between-host transmission fitness: a discussion of current assumptions and knowledge.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2015
    Review
  17. Turbulent dispersion via fan-generated flows.Physics of fluids (Woodbury, N.Y. : 1994) · 2014
    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

3 authors.

Siobhan K HalloranDepartment of Chemical Engineering and Materials Science, University of California Davis, Davis, California, United States of America.
Anthony S Wexler
William D Ristenpart

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The peak in influenza incidence during wintertime in temperate regions represents a longstanding, unresolved scientific question. One hypothesis is that the efficacy of airborne transmission via aerosols is increased at lower humidities and temperatures, conditions that prevail in wintertime. Recent work with a guinea pig model by Lowen et al. indicated that humidity and temperature do modulate airborne influenza virus transmission, and several investigators have interpreted the observed humidity dependence in terms of airborne virus survivability. This interpretation, however, neglects two key observations: the effect of ambient temperature on the viral growth kinetics within the animals, and the strong influence of the background airflow on transmission. Here we provide a comprehensive theoretical framework for assessing the probability of disease transmission via expiratory aerosols between test animals in laboratory conditions. The spread of aerosols emitted from an infected animal is modeled using dispersion theory for a homogeneous turbulent airflow. The concentration and size distribution of the evaporating droplets in the resulting "Gaussian breath plume" are calculated as functions of position, humidity, and temperature. The overall transmission probability is modeled with a combination of the time-dependent viral concentration in the infected animal and the probability of droplet inhalation by the exposed animal downstream. We demonstrate that the breath plume model is broadly consistent with the results of Lowen et al., without invoking airborne virus survivability. The results also suggest that, at least for guinea pigs, variation in viral kinetics within the infected animals is the dominant factor explaining the increased transmission probability observed at lower temperatures.

Indexed as

Models, BiologicalAerosolsAir MicrobiologyAnimalsCold TemperatureExhalationGuinea PigsHumansHumidityInfluenza, HumanKineticsModels, TheoreticalOrthomyxoviridaePulmonary VentilationAerosols

Identifiers

PMID22615902
PMCPMC3352828

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.