Evidence map›Paper›PMID 39472912›Full record

ArticleBMC biology2024

Cold snaps lead to a 5-fold increase or a 3-fold decrease in disease proliferation depending on the baseline temperature.

Niamh McCartan, Jeremy Piggott, Sadie DiCarlo, Pepijn Luijckx

Abstract read
In one paragraph

Article in BMC biology, 2024. 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. 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

4 authors.

Niamh McCartanDiscipline of Zoology, School of Natural Sciences, Trinity College Dublin, Dublin, Ireland. nmccarta@tcd.ie.ORCID 0000-0003-3192-8576
Jeremy PiggottDiscipline of Zoology, School of Natural Sciences, Trinity College Dublin, Dublin, Ireland.
Sadie DiCarloDiscipline of Zoology, School of Natural Sciences, Trinity College Dublin, Dublin, Ireland.
Pepijn LuijckxDiscipline of Zoology, School of Natural Sciences, Trinity College Dublin, Dublin, Ireland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundClimate change is driving increased extreme weather events that can impact ecology by moderating host-pathogen interactions. To date, few studies have explored how cold snaps affect disease prevalence and proliferation. Using the Daphnia magna-Ordospora colligata host-parasite system, a popular model system for environmentally transmitted diseases, the amplitude and duration of cold snaps were manipulated at four baseline temperatures, 10 days post-exposure, with O. colligata fitness recorded at the individual level.

resultsCold snaps induced a fivefold increase or a threefold decrease in parasite burden relative to baseline temperature, with complex nuances and varied outcomes resulting from different treatment combinations. Both amplitude and duration can interact with the baseline temperature highlighting the complexity and baseline dependence of cold snaps. Furthermore, parasite fitness, i.e., infection prevalence and burden, were simultaneously altered in opposite directions in the same cold snap treatment.

conclusionsWe found that cold snaps can yield complicated outcomes that are unique from other types of temperature variation (for example, heatwaves). These results underpin the challenges and complexity in understanding and predicting how climate and extreme weather may alter disease under global change.

Indexed as

Climate ChangeCold TemperatureDaphniaAnimalsHost-Parasite InteractionsHost-Pathogen InteractionsMesomycetozoeaClimate changeCold snapCold spellDaphnia magnaDiseaseHostOrdospora colligataParasitePathogenTemperature variation

Identifiers

PMID39472912
PMCPMC11523827

What OpenQuestion holds

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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.