Evidence map›Paper›PMID 39333404›Full record

ArticleInternational journal of biometeorology2025

High aerospora levels and associated atmospheric circulation patterns: Pretoria, South Africa.

S J Roffe, L B Ajikah, J John, R M Garland, K Lehtipalo, M K Bamford

Abstract read
In one paragraph

Article in International journal of biometeorology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

6 authors.

S J RoffeAgrometeorology Division, Agricultural Research Council-Natural Resources and Engineering, Pretoria, South Africa. RoffeS@arc.agric.za.ORCID http://orcid.org/0000-0003-3683-8377
L B AjikahEvolutionary Studies Institute, University of the Witwatersrand, Johannesburg, South Africa.ORCID http://orcid.org/0000-0001-7250-1304
J JohnSMART Places, Council for Scientific and Industrial Research, Pretoria, South Africa.ORCID http://orcid.org/0000-0002-3027-7444
R M GarlandDepartment of Geography, Geoinformatics and Meteorology, University of Pretoria, Pretoria, South Africa.ORCID http://orcid.org/0000-0002-1855-8622
K LehtipaloInstitute of Atmospheric and Earth System Research, University of Helsinki, Helsinki, Finland.ORCID http://orcid.org/0000-0002-1660-2706
M K BamfordEvolutionary Studies Institute, University of the Witwatersrand, Johannesburg, South Africa.ORCID http://orcid.org/0000-0003-0667-130X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

At high exposure levels, airborne pollen grains and fungal spores (termed aerospora hereafter), can trigger severe allergic respiratory diseases. For South Africa's administrative capital Pretoria, which boasts dense vegetation within a large urban forest, it is valuable from a health perspective to understand daily atmospheric circulation patterns associated with high aerospora levels. Therefore, we utilised a daily aerospora grain count dataset collected in Pretoria from 08/2019-02/2023 to investigate atmospheric circulation patterns (derived from ERA5 reanalysis sea level pressure [SLP] and 500 hPa geopotential height [zg500] fields) associated with high-risk aerospora levels (aerospora grain count > 90th percentile). Concentrated during October-May, there were 128 high-risk days, with 69.6% of days occurring in November, February and April. Although generally above-average mid-tropospheric subsidence levels prevailed over Pretoria during high-risk days, no single distinct atmospheric circulation pattern was associated with these high-risk days. Therefore, using Principal Component Analysis, we classified 14 Circulation Weather Types (CWTs) for October-May months between 08/2019-02/2023 to assess which CWTs most frequently occurred during high-risk days. Three CWTs had a statistically significant proportion of high-risk days - collectively they occurred during 37.1% of days studied, yet accounted for 45.3% of high-risk days. Among these CWTs, two CWTs were similarly associated with surface and mid-tropospheric high-pressure conditions, while the third was associated with a surface and mid-tropospheric trough. By comparing our CWT classification to daily synoptic charts (from the South African Weather Service), our classification can be used to identify days with potentially high allergenicity risk over Pretoria.

Indexed as

Air PollutantsAllergensPollenSpores, FungalWeatherAir MovementsAtmosphereSouth AfricaAir PollutantsAllergensAirborne pollen and spores (aerospora)AllergenicityAtmospheric circulation classificationHigh-risk daysPretoria

Identifiers

PMID39333404
PMCPMC12540555

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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.