Evidence map›Paper›PMID 23610389›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2013

Centrality in primate-parasite networks reveals the potential for the transmission of emerging infectious diseases to humans.

José María Gómez, Charles L Nunn, Miguel Verdú

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed, 2 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

52 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Host phylogenetic distance drives trends in virus virulence and transmissibility across the animal-human interface.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2019
    Pooled it
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  13. Occurrence of Free-Living Amoebae in Non-Human Primate Gut.Tropical medicine and infectious disease · 2024
    Article
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  16. Epidemiological connectivity between humans and animals across an urban landscape.Proceedings of the National Academy of Sciences of the United States of America · 2023
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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

3 authors.

José María GómezDepartamento de Ecología, University of Granada, E-18071 Granada, Spain. jmgreyes@ugr.es
Charles L Nunn
Miguel Verdú

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Most emerging infectious diseases (EIDs) in humans have arisen from animals. Identifying high-risk hosts is therefore vital for the control and surveillance of these diseases. Viewing hosts as connected through the parasites they share, we use network tools to investigate predictors of parasitism and sources of future EIDs. We generated host-parasite networks that link hosts when they share a parasite, using nonhuman primates as a model system because--owing to their phylogenetic proximity and ecological overlap with humans--they are an important source of EIDs to humans. We then tested whether centrality in the network of host species--a measurement of the importance of a given node (i.e., host species) in the network--is associated with that host serving as a potential EID source. We found that centrality covaries with key predictors of parasitism, such as population density and geographic range size. Importantly, we also found that primate species having higher values of centrality in the primate-parasite network harbored more parasites identified as EIDs in humans and had parasite communities more similar to those found in humans. These relationships were robust to the use of different centrality metrics and to multiple ways of controlling for variation in how well each species has been studied (i.e., sampling effort). Centrality may therefore estimate the role of a host as a source of EIDs to humans in other multispecific host-parasite networks.

Indexed as

AlgorithmsAnimalsBiodiversityCommunicable Disease ControlCommunicable Diseases, EmergingDatabases, FactualGeographyHumansModels, BiologicalMultivariate AnalysisParasitesParasitic Diseases, AnimalPopulation DensityPrimatesecological networksepidemiology

Identifiers

PMID23610389
PMCPMC3651426

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.