Evidence map›Paper›PMID 26038558›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2015

Rodent reservoirs of future zoonotic diseases.

Barbara A Han, John Paul Schmidt, Sarah E Bowden, John M Drake

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 322 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
322citing papers in PubMed, 5 pooled it
–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

322 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Pooled it
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  5. Pooled it
  6. Small rodents, huge impact: A scoping review of EuropeanOne health (Amsterdam, Netherlands) · 2026
    Review
  7. One health (Amsterdam, Netherlands) · 2026
    Article
  8. Climate-driven host ecology as a framework for zoonotic disease risk: Understanding transferability across arenavirus systems.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
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262 more citing papers are in PubMed but not listed here.

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.

Barbara A HanCary Institute of Ecosystem Studies, Millbrook, NY 12545; and hanb@caryinstitute.org.
John Paul SchmidtOdum School of Ecology, University of Georgia, Athens, GA 30602.
Sarah E BowdenOdum School of Ecology, University of Georgia, Athens, GA 30602.
John M DrakeOdum School of Ecology, University of Georgia, Athens, GA 30602.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The increasing frequency of zoonotic disease events underscores a need to develop forecasting tools toward a more preemptive approach to outbreak investigation. We apply machine learning to data describing the traits and zoonotic pathogen diversity of the most speciose group of mammals, the rodents, which also comprise a disproportionate number of zoonotic disease reservoirs. Our models predict reservoir status in this group with over 90% accuracy, identifying species with high probabilities of harboring undiscovered zoonotic pathogens based on trait profiles that may serve as rules of thumb to distinguish reservoirs from nonreservoir species. Key predictors of zoonotic reservoirs include biogeographical properties, such as range size, as well as intrinsic host traits associated with lifetime reproductive output. Predicted hotspots of novel rodent reservoir diversity occur in the Middle East and Central Asia and the Midwestern United States.

Indexed as

Disease ReservoirsAge FactorsAnimalsArtificial IntelligenceComputational BiologyForecastingGeographic MappingGeographyHumansPopulation DensityPublic HealthRegression AnalysisReproductionRodentiaSexual MaturationSpecies Specificitydisease forecastinggeneralized boosted regression treesmachine learningpace-of-life hypothesisprediction

Identifiers

PMID26038558
PMCPMC4460448

What OpenQuestion 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 OpenQuestion graph.