Evidence map›Paper›PMID 25958811›Full record

ArticleMathematical biosciences2015

The role of pathogen shedding in linking within- and between-host pathogen dynamics.

Michael Barfield, Maria E Orive, Robert D Holt

Abstract read
In one paragraph

Article in Mathematical biosciences, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
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  4. Review
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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.

Michael BarfieldDepartment of Biology, University of Florida, 111 Bartram Hall, P.O. Box 118525, Gainesville, FL 32611-8525, USA . Electronic address: mjb01@ufl.edu.
Maria E OriveDepartment of Ecology and Evolutionary Biology, University of Kansas, 1200 Sunnyside Ave., Lawrence, KS 66045, USA.
Robert D HoltDepartment of Biology, University of Florida, 111 Bartram Hall, P.O. Box 118525, Gainesville, FL 32611-8525, USA.

Funding

WITHIN-HOST POPULATION DYNAMICS OF RETROVIRUS VACCINER01GM060792 · NIGMS · UNIVERSITY OF KANSAS MEDICAL CENTER · PI SMITH, MARILYN S · 2001 to 2005
$1.3M
NIGMS NIH HHS 5R01 GM60792-04NIGMS NIH HHS R01 GM060792
6 · The paper itself

Abstract

A model linking within- and between-host pathogen dynamics via pathogen shedding (emission of pathogens throughout the course of infection) is developed, and several aspects of host availability and co-infection are considered. In this model, the rate of pathogen shedding affects both the pathogen population size within a host (also affecting host mortality) and the rate of infection of new hosts. Our goal is to ascertain how the rate of shedding is likely to evolve, and what factors permit coexistence of alternative shedding rates in a pathogen population. For a constant host population size (where an increase in infected hosts necessarily decreases susceptible hosts), important differences arise depending on whether pathogens compete only for susceptible (uninfected) hosts, or whether co-infection allows for competition for infected hosts. With no co-infection, the pathogen type that can persist with the lowest number of susceptible hosts will outcompete any other, which under the assumptions of the model is the pathogen with the highest basic reproduction number. This is often a pathogen with a relatively high shedding rate (s). If within-host competition is allowed, a trade-off develops due to the conflicting effects of shedding on within- and between-host pathogen dynamics, with within-host competition favoring clones with low shedding rates while between-host competition benefits clones with higher shedding rates. With within-host competition for the same host cells, low shedding rate clones should eliminate high-s clones in a co-infected host, if equilibrium is reached. With co-infection, but no within-host competition, pathogen clones still interact by affecting the mortality of co-infected hosts; here, coexistence is more likely. With co-infection, two clones can coexist if one is the superior competitor for uninfected hosts and the other for co-infected hosts.

Indexed as

CoinfectionHost-Pathogen InteractionsModels, TheoreticalVirus DiseasesVirus SheddingAnimalsCo-infectionLimited host populationPathogen dynamicsShedding

Identifiers

PMID25958811
PMCPMC4636973

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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.