Evidence map›Paper›PMID 42597891›Full record

ArticleEcological informatics2026

Simulating the landscape eco-evolution of host-pathogen systems with CDMetaPOP.

Erin L Landguth, Allison Williams, Marissa Roseman, Miracle Amadi, Baylor Fain, Marcel Kouete, Rhys A Farrer, Amy J Haeseler, Orly Razgour, Chris Richardson and 5 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Ecological informatics, 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

15 authors.

Erin L LandguthCenter for Population Health Research, School of Public and Community Health Sciences, University of Montana, Missoula, United States of America.
Allison WilliamsCenter for Population Health Research, School of Public and Community Health Sciences, University of Montana, Missoula, United States of America.
Marissa RosemanCenter for Population Health Research, School of Public and Community Health Sciences, University of Montana, Missoula, United States of America.
Miracle AmadiUT School of Engineering Sciences, Lappeenranta-Lahti University of Technology (LUT), Lappeenranta, Finland.
Baylor FainCenter for Population Health Research, School of Public and Community Health Sciences, University of Montana, Missoula, United States of America.
Marcel KoueteCenter for Population Health Research, School of Public and Community Health Sciences, University of Montana, Missoula, United States of America.
Rhys A FarrerMRC Centre for Medical Mycology, Biosciences, University of Exeter, Exeter, UK.
Amy J HaeselerCenter for Population Health Research, School of Public and Community Health Sciences, University of Montana, Missoula, United States of America.
Orly RazgourBiosciences, University of Exeter, Exeter, UK.
Chris RichardsonDepartment of Biology, Boston University, United States of America.
Byron WeckworthCenter for Population Health Research, School of Public and Community Health Sciences, University of Montana, Missoula, United States of America.
Julie WeckworthCenter for Population Health Research, School of Public and Community Health Sciences, University of Montana, Missoula, United States of America.
Flora Whiting-FawcettBiosciences, University of Exeter, Exeter, UK.
Duncan WilsonMRC Centre for Medical Mycology, Biosciences, University of Exeter, Exeter, UK.
Casey C DayCenter for Population Health Research, School of Public and Community Health Sciences, University of Montana, Missoula, United States of America.

Funding

Wildfires and Cardiovascular Health: Evaluating Associations and Intervention StrategiesP20GM130418 · NIGMS · UNIVERSITY OF MONTANA · PI Curtis William Noonan · 2020 to 2026
$17.9M
NIGMS NIH HHS P20 GM130418
6 · The paper itself

Abstract

Simulating the eco-evolutionary feedbacks between wildlife hosts and pathogens in complex landscapes remains a major computational challenge. While universal simulation languages enable custom model development, few integrated frameworks exist that mechanistically link disease dynamics, landscape-scale demography, and forward-time population genetics. We address this gap by introducing CDMetaPOP-Disease, an open-source, spatially explicit, individual-based demo-genetic module. The module's primary informatics advance is its native ability to mechanistically link individual genotypes to epidemiological transition rates, enabling the simulation of host disease response strategies, such as resistance (reducing infection probability) and tolerance (reducing mortality). We verified the module's core features against classic SIR-type models, achieving high fidelity (Nash-Sutcliffe Efficiency

Indexed as

Eco-evolutionary dynamicsHost-pathogen interactionsIndividual-based modelInfectious disease modelingLandscape connectivityLandscape geneticsSimulation software

Identifiers

PMID42597891
PMCPMC13469625

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.