Evidence map›Paper›PMID 27316904›Full record

ReviewTrends in parasitology2016

Global Patterns of Zoonotic Disease in Mammals.

Barbara A Han, Andrew M Kramer, John M Drake

Abstract readReview
In one paragraph

Review in Trends in parasitology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 212 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
212citing papers in PubMed, 8 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

212 citing papers in PubMed, 8 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Pooled it
  7. Pooled it
  8. Pooled it
  9. One health (Amsterdam, Netherlands) · 2026
    Article
  10. Article
  11. 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
  12. Article
  13. Spotted feverMicrobiology spectrum · 2026
    Article
  14. International journal for parasitology. Parasites and wildlife · 2026
    Article
  15. Review
  16. Review
  17. Article
  18. Article
  19. Review
  20. Article

152 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

3 authors.

Barbara A HanCary Institute of Ecosystem Studies, Box AB Millbrook, NY 12545, USA. Electronic address: hanb@caryinstitute.org.
Andrew M KramerOdum School of Ecology, University of Georgia, 140 East Green Street, Athens, GA 30602, USA.
John M DrakeOdum School of Ecology, University of Georgia, 140 East Green Street, Athens, GA 30602, USA; Center for the Ecology of Infectious Diseases, University of Georgia, Athens, GA 30602, USA.

Funding

Forecasting tipping points in emerging and re-emerging infectious diseasesU01GM110744 · NIGMS · UNIVERSITY OF GEORGIA · PI DRAKE, JOHN M, EPUREANU, BOGDAN · 2014 to 2018
$3.2M
MACHINE LEARNING TO FORECAST ZOONOTIC DISEASE EMERGENCEF32GM087811 · NIGMS · UNIVERSITY OF GEORGIA · PI HAN, BARBARA A. · 2011 to 2013
$161k
NIGMS NIH HHS F32 GM087811NIGMS NIH HHS U01 GM110744
6 · The paper itself

Abstract

As the frequency and prevalence of zoonotic diseases increase worldwide, investigating how mammal host distributions determine patterns of human disease and predicting which regions are at greatest risk for future zoonotic disease emergence are two goals which both require better understanding of the current distributions of zoonotic hosts and pathogens. We review here the existing data about mammalian host species, comparing and contrasting these patterns against global maps of zoonotic hosts from all 27 orders of terrestrial mammals. We discuss the zoonotic potential of host species from the top six most species-rich mammal groups, and review the literature to identify analytical and conceptual gaps that must be addressed to improve our ability to generate testable predictions about zoonotic diseases originating from wild mammals.

Indexed as

Global HealthAnimalsAnimals, WildHost-Pathogen InteractionsHumansMammalsRisk FactorsZoonosesbiogeographyhotspotinfectious diseasemacroecologypredictionrisk

Identifiers

PMID27316904
PMCPMC4921293

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.