Evidence map›Paper›PMID 33852572›Full record

ArticlePloS one2021

Atmospheric modelling of grass pollen rupturing mechanisms for thunderstorm asthma prediction.

Kathryn M Emmerson, Jeremy D Silver, Marcus Thatcher, Alan Wain, Penelope J Jones, Andrew Dowdy, Edward J Newbigin, Beau W Picking, Jason Choi, Elizabeth Ebert and 1 more

Abstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. Extreme Weather Events and Asthma.Immunology and allergy clinics of North America · 2024
    Review
  7. Article
  8. A Review of the Respiratory Health Burden Attributable to Short-Term Exposure to Pollen.International journal of environmental research and public health · 2022
    Review
  9. Article
  10. Article
  11. Article
  12. Review
  13. 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

11 authors.

Kathryn M EmmersonCSIRO Oceans and Atmosphere, Aspendale, Victoria, Australia.ORCID 0000-0002-0727-0340
Jeremy D SilverSchool of Mathematics and Statistics, University of Melbourne, Parkville, Victoria, Australia.
Marcus ThatcherCSIRO Oceans and Atmosphere, Aspendale, Victoria, Australia.
Alan WainBureau of Meteorology, Docklands, Victoria, Australia.
Penelope J JonesMenzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia.
Andrew DowdyBureau of Meteorology, Docklands, Victoria, Australia.
Edward J NewbiginSchool of BioSciences, University of Melbourne, Victoria, Australia.
Beau W PickingSchool of BioSciences, University of Melbourne, Victoria, Australia.
Jason ChoiEnvironmental Protection Authority Victoria, Macleod, Victoria, Australia.
Elizabeth EbertBureau of Meteorology, Docklands, Victoria, Australia.
Tony BannisterBureau of Meteorology, Docklands, Victoria, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The world's most severe thunderstorm asthma event occurred in Melbourne, Australia on 21 November 2016, coinciding with the peak of the grass pollen season. The aetiological role of thunderstorms in these events is thought to cause pollen to rupture in high humidity conditions, releasing large numbers of sub-pollen particles (SPPs) with sizes very easily inhaled deep into the lungs. The humidity hypothesis was implemented into a three-dimensional atmospheric model and driven by inputs from three meteorological models. However, the mechanism could not explain how the Melbourne event occurred as relative humidity was very low throughout the atmosphere, and most available grass pollen remained within 40 m of the surface. Our tests showed humidity induced rupturing occurred frequently at other times and would likely lead to recurrent false alarms if used in a predictive capacity. We used the model to investigate a range of other possible pollen rupturing mechanisms which could have produced high concentrations of SPPs in the atmosphere during the storm. The mechanisms studied involve mechanical friction from wind gusts, electrical build up and discharge incurred during conditions of low relative humidity, and lightning strikes. Our results suggest that these mechanisms likely operated in tandem with one another, but the lightning method was the only mechanism to generate a pattern in SPPs following the path of the storm. If humidity induced rupturing cannot explain the 2016 Melbourne event, then new targeted laboratory studies of alternative pollen rupture mechanisms would be of considerable value to help constrain the parameterisation of the pollen rupturing process.

Indexed as

AtmosphereAsthmaAustraliaClimatic ProcessesHumansModels, StatisticalPoaceaePollenRhinitis, Allergic, Seasonal

Identifiers

PMID33852572
PMCPMC8046208

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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.