Evidence map›Paper›PMID 25654450›Full record

ArticlePLoS computational biology2015

HIV competition dynamics over sexual networks: first comer advantage conserves founder effects.

Bence Ferdinandy, Enys Mones, Tamás Vicsek, Viktor Müller

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.0field-weighted citation impact, top 26% 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

10 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
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  4. Review
  5. Review
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  9. Article
  10. Phylodynamics on local sexual contact networks.PLoS computational biology · 2017
    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 at 2 institutions in 2 countries.

Bence FerdinandyDepartment of Biological Physics, Eötvös Loránd University, Budapest, Hungary.
Enys MonesDepartment of Biological Physics, Eötvös Loránd University, Budapest, Hungary.
Tamás VicsekDepartment of Biological Physics, Eötvös Loránd University, Budapest, Hungary; MTA-ELTE Statistical and Biological Physics Research Group, Eötvös Loránd University and the Hungarian Academy of Sciences, Budapest, Hungary.
Viktor MüllerMTA-ELTE Theoretical Biology and Evolutionary Ecology Research Group, Eötvös Loránd University and the Hungarian Academy of Sciences, Budapest, Hungary; Parmenides Center for the Conceptual Foundations of Science, Pullach/Munich, Germany.
Eötvös Loránd University · HUParmenides Foundation · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Outside Africa, the global phylogeography of HIV is characterized by compartmentalized local epidemics that are typically dominated by a single subtype, which indicates strong founder effects. We hypothesized that the competition of viral strains at the epidemic level may involve an advantage of the resident strain that was the first to colonize a population. Such an effect would slow down the invasion of new strains, and thus also the diversification of the epidemic. We developed a stochastic modelling framework to simulate HIV epidemics over dynamic contact networks. We simulated epidemics in which the second strain was introduced into a population where the first strain had established a steady-state epidemic, and assessed whether, and on what time scale, the second strain was able to spread in the population. Simulations were parameterized based on empirical data; we tested scenarios with varying levels of overall prevalence. The spread of the second strain occurred on a much slower time scale compared with the initial expansion of the first strain. With strains of equal transmission efficiency, the second strain was unable to invade on a time scale relevant for the history of the HIV pandemic. To become dominant over a time scale of decades, the second strain needed considerable (>25%) advantage in transmission efficiency over the resident strain. The inhibition effect was weaker if the second strain was introduced while the first strain was still in its growth phase. We also tested how possible mechanisms of interference (inhibition of superinfection, depletion of highly connected hubs in the network, one-time acute peak of infectiousness) contribute to the inhibition effect. Our simulations confirmed a strong first comer advantage in the competition dynamics of HIV at the population level, which may explain the global phylogeography of the virus and may influence the future evolution of the pandemic.

Indexed as

EpidemicsFounder EffectHIV-1Models, BiologicalContact TracingFemaleHIV InfectionsHumansMalePrevalenceSexual BehaviorStatistics, NonparametricUganda

Identifiers

PMID25654450
PMCPMC4318579
OpenAlexW2004307563

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.