Evidence map›Paper›PMID 34538139›Full record

ArticlePhilosophical transactions of the Royal Society of London. Series B, Biological sciences2021

Predictors of zoonotic potential in helminths.

Ania A Majewska, Tao Huang, Barbara Han, John M Drake

Open access · hybridAbstract read
In one paragraph

Article in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2021. 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
3.5field-weighted citation impact, top 7% 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, 24 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Review
  10. Prevalence ofAnimals : an open access journal from MDPI · 2023
    Article
  11. Article
  12. Review
  13. Predictors of zoonotic potential in helminths.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2021
    Article
  14. Identifying co-phylogenetic hotspots for zoonotic disease.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2021
    Article
  15. Functional biogeography of parasite traits: hypotheses and evidence.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2021
    Review
  16. Infectious disease macroecology: parasite diversity and dynamics across the globe.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2021
    Article
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 at 4 institutions in 3 countries.

Ania A MajewskaOdum School of Ecology and the Center for Ecology of Infectious Diseases, University of Georgia, Athens, GA, USA.ORCID 0000-0002-0965-3177
Tao HuangCary Institute of Ecosystem Studies, Millbrook, NY, USA.ORCID 0000-0001-9004-6130
Barbara HanCary Institute of Ecosystem Studies, Millbrook, NY, USA.ORCID 0000-0002-9948-3078
John M DrakeOdum School of Ecology and the Center for Ecology of Infectious Diseases, University of Georgia, Athens, GA, USA.ORCID 0000-0003-4646-1235
Boise State University · USCary Institute of Ecosystem Studies · USEmory University · USUniversity of Georgia · US

Funding

IRACDA Fellowships in Research and Science Training (FIRST)K12GM000680 · NIGMS · EMORY UNIVERSITY · PI BROWN, LOU ANN S, MCCARTY, NAEL A · 2000 to 2024
$41.2M
6 · The paper itself

Abstract

Helminths are parasites that cause disease at considerable cost to public health and present a risk for emergence as novel human infections. Although recent research has elucidated characteristics conferring a propensity to emergence in other parasite groups (e.g. viruses), the understanding of factors associated with zoonotic potential in helminths remains poor. We applied an investigator-directed learning algorithm to a global dataset of mammal helminth traits to identify factors contributing to spillover of helminths from wild animal hosts into humans. We characterized parasite traits that distinguish between zoonotic and non-zoonotic species with 91% accuracy. Results suggest that helminth traits relating to transmission (e.g. definitive and intermediate hosts) and geography (e.g. distribution) are more important to discriminating zoonotic from non-zoonotic species than morphological or epidemiological traits. Whether or not a helminth causes infection in companion animals (cats and dogs) is the most important predictor of propensity to cause human infection. Finally, we identified helminth species with high modelled propensity to cause zoonosis (over 70%) that have not previously been considered to be of risk. This work highlights the importance of prioritizing studies on the transmission of helminths that infect pets and points to the risks incurred by close associations with these animals. This article is part of the theme issue 'Infectious disease macroecology: parasite diversity and dynamics across the globe'.

Indexed as

Host-Parasite InteractionsAnimalsCat DiseasesCatsDog DiseasesDogsHelminthsModels, BiologicalZoonosesintermediate hostmacroparasiteparasite traitpetzoonosis

Identifiers

PMID34538139
PMCPMC8450625
OpenAlexW3199843139

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.