Evidence map›Paper›PMID 42604566›Full record

ArticleEcology letters2026

Eco-Evolutionary Dynamics of Pathogen Epidemic Timing in a Seasonal Environment.

Ryuichi Kumata, Akira Sasaki

Abstract read
In one paragraph

Article in Ecology letters, 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

2 authors.

Ryuichi KumataCEFE, CNRS, Univ Montpellier, EPHE, IRD, Montpellier, France.ORCID https://orcid.org/0000-0002-6428-6357
Akira SasakiResearch Center for Integrative Evolutionary Science, SOKENDAI, Hayama, Kanagawa, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Seasonality structures the dynamics of infectious diseases, yet how pathogens evolve their seasonal timing remains unclear. Here, we develop an evolutionary epidemiology model to examine how pathogens adapt to seasonally varying environments, assuming that each strain favours a specific season for transmission. Analytical and numerical results reveal two contrasting regimes: phenological drift, where the preferred season continually advances through priority effects, and stable seasonal adaptation, where evolution converges to a fixed season. Under strong transmissibility, multiple seasonal morphs can coexist, forming polymorphic communities of epidemic timing. These outcomes result from the balance between a seasonal priority effect, rewarding early occupation of the niche and a seasonal stabilising effect, adjusting traits to the external optimum. Our findings show that epidemic seasonality itself can evolve as a life-history trait, providing a conceptual bridge between pathogen dynamics and the broader evolution of phenology in periodic environments.

Indexed as

Biological EvolutionCommunicable DiseasesEpidemicsModels, BiologicalSeasonsadaptive dynamicsevolutionary epidemiologyoligomorphic dynamicsphenologyseasonality

Identifiers

PMID42604566
PMCPMC13477744

What Socratic holds

Textmetadata
Read underepoch 390

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 Socratic graph.