Evidence map›Paper›PMID 40740800›Full record

ReviewEcology and evolution2025

A Conceptual Disease Cycle Model to Link the Size of Past and Future Epidemics.

Sam Paplauskas

Erratum issuedAbstract readReview
In one paragraph

Review in Ecology and evolution, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

1 author.

Sam PaplauskasBiological and Environmental Sciences University of Stirling Stirling Scotland, UK.ORCID https://orcid.org/0000-0003-0303-0929

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Populations of humans, animals, and plants face ongoing threats from infectious disease epidemics. While host-parasite coevolution plays a central role in shaping these dynamics, epidemics are often studied in isolation. I propose a simple "Disease Cycle" model that connects past and future epidemic sizes within the context of environmental change and evolutionary feedbacks. Drawing on recent evo-epidemiological research, I highlight three key themes: (i) how epidemics influence the strength and direction of natural selection, (ii) how host and parasite diversity shift through evolving resistance and infectivity, and (iii) how genetic diversity in either population may affect future epidemic severity. Although gaps remain, current evidence supports this integrative model. Future research should explore how the Disease Cycle applies to non-model organisms with low coevolutionary potential. This framework encourages a more holistic view of epidemics as dynamic outcomes of host-parasite coevolution.

Identifiers

PMID40740800
PMCPMC12304088

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.