Evidence map›Paper›PMID 24849581›Full record

ArticlePloS one2014

The scaling of host density with richness affects the direction, shape, and detectability of diversity-disease relationships.

Joseph R Mihaljevic, Maxwell B Joseph, Sarah A Orlofske, Sara H Paull

Abstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Malaria Risk Drivers in the Brazilian Amazon: Land Use-Land Cover Interactions and Biological Diversity.International journal of environmental research and public health · 2023
    Article
  6. Article
  7. Intraspecific trait variation and changing life-history strategies explain host community disease risk along a temperature gradient.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023
    Article
  8. An eco-epidemiological modeling approach to investigate dilution effect in two different tick-borne pathosystems.Ecological applications : a publication of the Ecological Society of America · 2022
    Article
  9. Article
  10. Review
  11. Article
  12. Article
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  18. Review
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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.

Joseph R MihaljevicDepartment of Ecology and Evolutionary Biology, University of Colorado, Boulder, Colorado, United States of America.
Maxwell B JosephDepartment of Ecology and Evolutionary Biology, University of Colorado, Boulder, Colorado, United States of America.
Sarah A OrlofskeDepartment of Ecology and Evolutionary Biology, University of Colorado, Boulder, Colorado, United States of America; Department of Biology, Northeastern Illinois University, Chicago, Illinois, United States of America.
Sara H PaullDepartment of Ecology and Evolutionary Biology, University of Colorado, Boulder, Colorado, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pathogen transmission responds differently to host richness and abundance, two unique components of host diversity. However, the heated debate around whether biodiversity generally increases or decreases disease has not considered the relationships between host richness and abundance that may exist in natural systems. Here we use a multi-species model to study how the scaling of total host community abundance with species richness mediates diversity-disease relationships. For pathogens with density-dependent transmission, non-monotonic trends emerge between pathogen transmission and host richness when host community abundance saturates with richness. Further, host species identity drives high variability in pathogen transmission in depauperate communities, but this effect diminishes as host richness accumulates. Using simulation we show that high variability in low richness communities and the non-monotonic relationship observed with host community saturation may reduce the detectability of trends in empirical data. Our study emphasizes that understanding the patterns and predictability of host community composition and pathogen transmission mode will be crucial for predicting where and when specific diversity-disease relationships should occur in natural systems.

Indexed as

BiodiversityDiseaseHost SpecificityModels, Statistical

Identifiers

PMID24849581
PMCPMC4029764

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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.