Evidence map›Paper›PMID 29967175›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2018

Opposite outcomes of coinfection at individual and population scales.

Erin E Gorsich, Rampal S Etienne, Jan Medlock, Brianna R Beechler, Johannie M Spaan, Robert S Spaan, Vanessa O Ezenwa, Anna E Jolles

Open access · bronzeAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
3.4field-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

23 citing papers in PubMed, 44 citations in OpenAlex.

  1. Article
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  9. Epidemiology ofInternational journal for parasitology. Parasites and wildlife · 2023
    Article
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  15. Review
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  17. Review
  18. Elucidating cryptic dynamics ofEcology and evolution · 2020
    Article
  19. Article
  20. Bovine tuberculosis disturbs parasite functional trait composition in African buffalo.Proceedings of the National Academy of Sciences of the United States of America · 2019
    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

8 authors at 3 institutions in 2 countries.

Erin E GorsichDepartment of Biomedical Sciences, Oregon State University, Corvallis, OR 97331; eringorsich@gmail.com.ORCID 0000-0002-3017-0540
Rampal S EtienneGroningen Institute for Evolutionary Life Sciences, University of Groningen, 9700 CC Groningen, The Netherlands.ORCID 0000-0003-2142-7612
Jan MedlockDepartment of Biomedical Sciences, Oregon State University, Corvallis, OR 97331.
Brianna R BeechlerDepartment of Biomedical Sciences, Oregon State University, Corvallis, OR 97331.ORCID 0000-0002-9711-4340
Johannie M SpaanDepartment of Integrative Biology, Oregon State University, Corvallis, OR 97331.
Robert S SpaanDepartment of Fisheries and Wildlife, Oregon State University, Corvallis, OR 97331.
Vanessa O EzenwaOdum School of Ecology, College of Veterinary Medicine, University of Georgia, Athens, GA 30602.
Anna E JollesDepartment of Biomedical Sciences, Oregon State University, Corvallis, OR 97331.
Oregon State University · USUniversity of Georgia · USUniversity of Groningen · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coinfecting parasites and pathogens remain a leading challenge for global public health due to their consequences for individual-level infection risk and disease progression. However, a clear understanding of the population-level consequences of coinfection is lacking. Here, we constructed a model that includes three individual-level effects of coinfection: mortality, fecundity, and transmission. We used the model to investigate how these individual-level consequences of coinfection scale up to produce population-level infection patterns. To parameterize this model, we conducted a 4-y cohort study in African buffalo to estimate the individual-level effects of coinfection with two bacterial pathogens, bovine tuberculosis (bTB) and brucellosis, across a range of demographic and environmental contexts. At the individual level, our empirical results identified bTB as a risk factor for acquiring brucellosis, but we found no association between brucellosis and the risk of acquiring bTB. Both infections were associated with reductions in survival and neither infection was associated with reductions in fecundity. The model reproduced coinfection patterns in the data and predicted opposite impacts of coinfection at individual and population scales: Whereas bTB facilitated brucellosis infection at the individual level, our model predicted the presence of brucellosis to have a strong negative impact on bTB at the population level. In modeled populations where brucellosis was present, the endemic prevalence and basic reproduction number ([Formula: see text]) of bTB were lower than in populations without brucellosis. Therefore, these results provide a data-driven example of competition between coinfecting pathogens that occurs when one pathogen facilitates secondary infections at the individual level.

Indexed as

BrucellosisCoinfectionModels, BiologicalTuberculosis, BovineAnimalsBuffaloesCattleFemaleAfrican buffalobrucellosiscoinfectioncompetitiontuberculosis

Identifiers

PMID29967175
PMCPMC6055155
OpenAlexW2810346638

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.