Evidence map›Paper›PMID 31794547›Full record

ArticlePLoS biology2019

Coinfections by noninteracting pathogens are not independent and require new tests of interaction.

Frédéric M Hamelin, Linda J S Allen, Vrushali A Bokil, Louis J Gross, Frank M Hilker, Michael J Jeger, Carrie A Manore, Alison G Power, Megan A Rúa, Nik J Cunniffe

Abstract read
In one paragraph

Article in PLoS biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. ChasingAnimals : an open access journal from MDPI · 2025
    Article
  4. Article
  5. Coinfection by multipleMicrobiology and molecular biology reviews : MMBR · 2025
    Review
  6. Seasonal variation and interspecies dynamics amongmedRxiv : the preprint server for health sciences · 2025
    Article
  7. Heterogeneous mosquito exposure increasesProceedings. Biological sciences · 2024
    Article
  8. Review
  9. Experimentally evolvedMicrobiology (Reading, England) · 2024
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Evolutionary ecology of Lyme Borrelia.Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases · 2020
    Review
  19. 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

10 authors.

Frédéric M HamelinIGEPP, Agrocampus Ouest, INRA, Université de Rennes 1, Université Bretagne-Loire, Rennes, France.ORCID 0000-0003-2653-699X
Linda J S AllenDepartment of Mathematics and Statistics, Texas Tech University, Lubbock, Texas, United States of America.
Vrushali A BokilDepartment of Mathematics, Oregon State University, Corvallis, Oregon, United States of America.
Louis J GrossNational Institute for Mathematical and Biological Synthesis, University of Tennessee, Knoxville, Tennessee, United States of America.
Frank M HilkerInstitute of Environmental Systems Research, School of Mathematics and Computer Science, Osnabrück University, Osnabrück, Germany.
Michael J JegerCentre for Environmental Policy, Imperial College London, Ascot, United Kingdom.
Carrie A ManoreTheoretical Biology and Biophysics, Los Alamos National Laboratory, Los Alamos, New Mexico, United States of America.
Alison G PowerDepartment of Ecology and Evolutionary Biology, Cornell University, Ithaca, New York, United States of America.ORCID 0000-0002-2442-0953
Megan A RúaDepartment of Biological Sciences, Wright State University, Dayton, Ohio, United States of America.ORCID 0000-0002-2883-2795
Nik J CunniffeDepartment of Plant Sciences, University of Cambridge, Cambridge, United Kingdom.ORCID 0000-0002-3533-8672

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

If pathogen species, strains, or clones do not interact, intuition suggests the proportion of coinfected hosts should be the product of the individual prevalences. Independence consequently underpins the wide range of methods for detecting pathogen interactions from cross-sectional survey data. However, the very simplest of epidemiological models challenge the underlying assumption of statistical independence. Even if pathogens do not interact, death of coinfected hosts causes net prevalences of individual pathogens to decrease simultaneously. The induced positive correlation between prevalences means the proportion of coinfected hosts is expected to be higher than multiplication would suggest. By modelling the dynamics of multiple noninteracting pathogens causing chronic infections, we develop a pair of novel tests of interaction that properly account for nonindependence between pathogens causing lifelong infection. Our tests allow us to reinterpret data from previous studies including pathogens of humans, plants, and animals. Our work demonstrates how methods to identify interactions between pathogens can be updated using simple epidemic models.

Indexed as

AnimalsCoinfectionCross-Sectional StudiesEpidemicsHost-Pathogen InteractionsHumansInfectionsModels, BiologicalPrevalence

Identifiers

PMID31794547
PMCPMC6890165

What OpenQuestion holds

Textmetadata
LicenceCC0
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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.