Evidence map›Paper›PMID 19287490›Full record

ArticlePloS one2009

Genetic diversity in the SIR model of pathogen evolution.

Isabel Gordo, M Gabriela M Gomes, Daniel G Reis, Paulo R A Campos

Abstract read
In one paragraph

Article in PloS one, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

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

  1. Coalescent inference for infectious disease: meta-analysis of hepatitis C.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2013
    Pooled it
  2. Final-Size Solutions for SIRI Models with Vaccination.Bulletin of mathematical biology · 2026
    Article
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  8. Endogenous viral mutations, evolutionary selection, and containment policy design.Journal of economic interaction and coordination · 2022
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  18. A phylogenetic analysis using full-length viral genomes of South American dengue serotype 3 in consecutive Venezuelan outbreaks reveals a novel NS5 mutation.Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases · 2011
    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

4 authors.

Isabel GordoInstituto Gulbenkian de Ciência, Oeiras, Portugal. igordo@igc.gulbenkian.pt
M Gabriela M Gomes
Daniel G Reis
Paulo R A Campos

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We introduce a model for assessing the levels and patterns of genetic diversity in pathogen populations, whose epidemiology follows a susceptible-infected-recovered model (SIR). We model the population of pathogens as a metapopulation composed of subpopulations (infected hosts), where pathogens replicate and mutate. Hosts transmit pathogens to uninfected hosts. We show that the level of pathogen variation is well predicted by analytical expressions, such that pathogen neutral molecular variation is bounded by the level of infection and increases with the duration of infection. We then introduce selection in the model and study the invasion probability of a new pathogenic strain whose fitness (R(0)(1+s)) is higher than the fitness of the resident strain (R(0)). We show that this invasion probability is given by the relative increment in R(0) of the new pathogen (s). By analyzing the patterns of genetic diversity in this framework, we identify the molecular signatures during the replacement and compare these with those observed in sequences of influenza A.

Indexed as

Biological EvolutionGenetic VariationModels, BiologicalInfluenza A virusMutation

Identifiers

PMID19287490
PMCPMC2653725

What OpenQuestion holds

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Registered trials

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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.