Evidence map›Paper›PMID 40690669›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2025

Thermal mismatch models derived from occurrence data predict pathogen prevalence in frogs.

Richard P Duncan, Ben C Scheele, Simon Clulow

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 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. Thermal mismatch models derived from occurrence data predict pathogen prevalence in frogs.Proceedings of the National Academy of Sciences of the United States of America · 2025
    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.

Richard P DuncanCentre for Conservation Ecology and Genomics, Institute for Applied Ecology, University of Canberra, Bruce, ACT 2617, Australia.ORCID 0000-0003-2295-449X
Ben C ScheeleFenner School of Environment and Society, Australian National University, Canberra, ACT 2601, Australia.ORCID 0000-0001-7284-629X
Simon ClulowCentre for Conservation Ecology and Genomics, Institute for Applied Ecology, University of Canberra, Bruce, ACT 2617, Australia.ORCID 0000-0002-5700-6345

Funding

Department of Education and Training | Australian Research Council (ARC) DE200100121Department of Education and Training | Australian Research Council (ARC) DP240102056
6 · The paper itself

Abstract

Emerging infectious diseases increasingly threaten many wildlife populations, yet the impacts of pathogens vary considerably both within and among host species. The environmental tolerance mismatch hypothesis (ETMH) suggests that this variability stems in part from differences in the relative performance of hosts and pathogens under varying environmental conditions. According to the ETMH, pathogen impacts should be more severe in environments where pathogen performance is high and host performance is low, and vice versa. However, testing the ETMH with field data is challenging due to the difficulty of measuring host and pathogen performance among locations and quantifying performance mismatches. Here, we demonstrate that a measure of thermal mismatch, based on species realized thermal niches derived from species occurrence data, can reliably predict variation in the prevalence of the amphibian fungal pathogen

Indexed as

AnuraBatrachochytriumMycosesAnimalsAustraliaChytridiomycotaHost-Pathogen InteractionsPrevalenceTemperatureBatrachochytrium dendrobatidischytrid fungus, amphibianemerging pathogensenvironmental tolerance mismatch hypothesishost–pathogen interactions

Identifiers

PMID40690669
PMCPMC12318235

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.