Evidence map›Paper›PMID 41960561›Full record

ArticleAsia Pacific allergy2026

Environmental variables influencing tick anaphylaxis presentations: An observational study.

Katherine Duong, Melanie Burk, David Boettiger, Bronte Cross, Ayesha Owen, Jordan Symons, Andrew Ratchford, Sheryl van Nunen

Abstract read
In one paragraph

Article in Asia Pacific allergy, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Katherine DuongNorthern Beaches Clinical School, Macquarie University, Sydney, Australia.ORCID https://orcid.org/0009-0009-4500-3794
Melanie BurkTiARA (Tick-induced Allergies Research and Awareness), Australia.
David BoettigerEpidemiology, Hunter New England Local Health District, New South Wales, Australia.
Bronte CrossNorthern Beaches Clinical School, Macquarie University, Sydney, Australia.
Ayesha OwenNorthern Beaches Clinical School, Macquarie University, Sydney, Australia.
Jordan SymonsNorthern Beaches Clinical School, Macquarie University, Sydney, Australia.
Andrew RatchfordNorthern Beaches Clinical School, Macquarie University, Sydney, Australia.
Sheryl van NunenTiARA (Tick-induced Allergies Research and Awareness), Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Objective: This study aimed to correlate environmental variables with TA presentations in New South Wales (NSW), Australia, to predict tick seasons and forewarn residents of tick-endemic regions. Methods: Monthly temperature, rainfall, dewpoint, and fire extent data were collected from open-access government resources for Northern and Southern Coastal NSW, and Greater Sydney regions. These were compared with tick bite locations and dates from 278 TA patients from 2005 to 2022, using Pearson's correlation. Results: In Greater Sydney, TA cases were weakly correlated with rainfall (r = -0.15), temperature (r = 0.26), and dewpoint (9 am: r = -0.22; 3 pm: r = -0.22), and a strong negative correlation with percentage area burned (r = -0.94). Northern and Southern coastal NSW TA cases exhibited similarly weak correlations with rainfall, temperature, dewpoint, and percentage area burned. Conclusion: Larger bushfires may reduce TA presentations through tick habitat destruction. However, the role of weather variables remains inconclusive, highlighting the need for further research to better understand tick ecosystems, which may aid public health initiatives for tick awareness.

Indexed as

Anaphylaxisbushfireshumidityrainfalltemperatureticks

Identifiers

PMID41960561
PMCPMC13060779

What OpenQuestion holds

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Registered trials

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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.