Evidence map›Paper›PMID 32170775›Full record

ReviewAnnals of the New York Academy of Sciences2020

Community context for mechanisms of disease dilution: insights from linking epidemiology and plant-soil feedback theory.

Cathy D Collins, James D Bever, Michelle H Hersh

Open access · hybridAbstract readReview
In one paragraph

Review in Annals of the New York Academy of Sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.9field-weighted citation impact, top 9% of its field
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

16 citing papers in PubMed, 33 citations in OpenAlex.

  1. Review
  2. Article
  3. Pathogen dilution, resource partitioning, and precipitation generate productivity benefits from plant diversity.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  4. Review
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  15. Metapopulations with habitat modification.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  16. Review
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 at 3 institutions in 1 country.

Cathy D CollinsBiology Program, Bard College, Annandale-on-Hudson, New York.ORCID 0000-0002-7205-7247
James D BeverDepartment of Ecology and Evolutionary Biology, University of Kansas, Lawrence, Kansas.ORCID 0000-0003-4068-3582
Michelle H HershDepartment of Biology, Sarah Lawrence College, Bronxville, New York.ORCID 0000-0003-1174-7575
Bard College · USSarah Lawrence College · USUniversity of Kansas · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In many natural systems, diverse host communities can reduce disease risk, though less is known about the mechanisms driving this "dilution effect." We relate feedback theory, which focuses on pathogen-mediated coexistence, to mechanisms of dilution derived from epidemiological models, with the central goal of gaining insights into host-pathogen interactions in a community context. We first compare the origin, structure, and application of epidemiological and feedback models. We then explore the mechanisms of dilution, which are grounded in single-pathogen, single-host epidemiological models, from the perspective of feedback theory. We also draw on feedback theory to examine how coinfecting pathogens, and pathogens that vary along a host specialist-generalist continuum, apply to dilution theory. By identifying synergies among the feedback and epidemiological approaches, we reveal ways in which organisms occupying different trophic levels contribute to diversity-disease relationships. Additionally, using feedbacks to distinguish dilution in disease incidence from dilution in the net effect of disease on host fitness allows us to articulate conditions under which definitions of dilution may not align. After ascribing dilution mechanisms to macro- or microorganisms, we propose ways in which each contributes to diversity-disease and productivity-diversity relationships. Our analyses lead to predictions that can guide future research efforts.

Indexed as

BiodiversityEcosystemModels, TheoreticalPlant DiseasesSoilPlantsSoildilution effectdisease ecologyfeedbackspathogenspecies coexistencetrophic interactions

Identifiers

PMID32170775
PMCPMC7317922
OpenAlexW3010980466

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.