Evidence map›Paper›PMID 31238835›Full record

ArticleJournal of the Royal Society, Interface2019

A general framework for modelling the impact of co-infections on pathogen evolution.

Mary Bushman, Rustom Antia

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of the Royal Society, Interface, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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

4 citing papers in PubMed.

  1. Article
  2. Open questions in the social lives of viruses.Journal of evolutionary biology · 2023
    Review
  3. Article
  4. 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

2 authors.

Mary BushmanDepartment of Biology, Emory University , Atlanta, GA , USA.
Rustom AntiaDepartment of Biology, Emory University , Atlanta, GA , USA.

Funding

Understanding Transmission with Integrated Genetic and Epidemiologic InferenceU54GM111274 · NIGMS · FRED HUTCHINSON CANCER RESEARCH CENTER · PI BEDFORD, TREVOR BC · 2014 to 2018
$12.5M
Modeling the dynamics and evolution of immune responses to influenza virusesU19AI117891 · NIAID · EMORY UNIVERSITY · PI ANTIA, RUSTOM NOSHIR · 2015 to 2019
$8.4M
Multiscale modeling of influenza vaccination strategies for optimal T cell immunityU01HL139483 · NHLBI · EMORY UNIVERSITY · PI KOHLMEIER, JACOB E, ZARNITSYNA, VERONIKA I · 2018 to 2022
$3.5M
NHLBI NIH HHS U01 HL139483NIAID NIH HHS U19 AI117891NIGMS NIH HHS U54 GM111274
6 · The paper itself

Abstract

Theoretical models suggest that mixed-strain infections, or co-infections, are an important driver of pathogen evolution. However, the within-host dynamics of co-infections vary enormously, which complicates efforts to develop a general understanding of how co-infections affect evolution. Here, we develop a general framework which condenses the within-host dynamics of co-infections into a few key outcomes, the most important of which is the overall R

Indexed as

CoinfectionHost-Pathogen InteractionsModels, BiologicalAnimalsbranching processco-infectiondominanceevolutionary emergencemathematical model

Identifiers

PMID31238835
PMCPMC6597765

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.