Evidence map›Paper›PMID 40683077›Full record

ArticleEpidemics2025

Robust phylodynamic inference and model specification for HIV transmission dynamics.

Fabrícia F Nascimento, Sanjay R Mehta, Susan J Little, Erik M Volz

Abstract read
In one paragraph

Article in Epidemics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Fabrícia F NascimentoMRC Centre for Global Infectious Disease Analysis and the Department of Infectious Disease Epidemiology, Imperial College London, London, UK. Electronic address: f.nascimento@imperial.ac.uk.
Sanjay R MehtaDivision of Infectious Diseases, University of California San Diego, San Diego, CA, USA.
Susan J LittleDivision of Infectious Diseases, University of California San Diego, San Diego, CA, USA.
Erik M VolzMRC Centre for Global Infectious Disease Analysis and the Department of Infectious Disease Epidemiology, Imperial College London, London, UK.

Funding

Primary Infection Resource Consortium (PIRC)R24AI106039 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI LITTLE, SUSAN JANET · 2013 to 2021
$23.1M
Risks, Benefits, and Stakeholder Perspectives of Molecular Epidemiology for HIV Prevention (HIV-ME)R01MH124590 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI LITTLE, SUSAN JANET, SUGARMAN, JEREMY · 2020 to 2024
$3.9M
Efficacy of ART to Interrupt HIV Transmission NetworksR01MH100974 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI LITTLE, SUSAN JANET · 2014 to 2018
$3.2M
NIAID NIH HHS R24 AI106039NIMH NIH HHS R01 MH100974NIMH NIH HHS R01 MH124590
6 · The paper itself

Abstract

The robustness and statistical efficiency of phylodynamic models have been tested by many investigators. However, little attention has been given to model specification and inductive bias that can occur if the model is misspecified or provides an overly simplistic representation of the evolutionary process. Here, we carried out a study involving the simulation of HIV epidemics using a complex model and calibrated to men who have sex with men from San Diego, USA. We then used this epidemic trajectory to simulate genealogies, sequence alignments equivalent to HIV partial pol gene and the complete genome. We proceeded to estimate migration rates using a simplistic representation of the epidemiological model by testing model-based phylodynamics and phylogeographic methods. We observed that even though there were some biases on the estimates using a simplistic representation of the epidemiological model, we were still able to estimate the migration rates depending on the method and sample size used in the analyses.

Indexed as

Epidemiological ModelsHIV InfectionsCaliforniaComputer SimulationEpidemicsHomosexuality, MaleHumansMalePhylogenyPhylogeographyHIVInductive biasPhylodynamicsPhylogeography

Identifiers

PMID40683077
PMCPMC12344737

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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.