Influence of sexual risk behaviour and STI co-infection dynamics on the evolution of HIV set point viral load in MSM.


Journal

Epidemics
ISSN: 1878-0067
Titre abrégé: Epidemics
Pays: Netherlands
ID NLM: 101484711

Informations de publication

Date de publication:
09 2021
Historique:
received: 01 11 2019
revised: 17 03 2021
accepted: 07 06 2021
pubmed: 22 6 2021
medline: 26 10 2021
entrez: 21 6 2021
Statut: ppublish

Résumé

HIV viral load (VL) is an important predictor of HIV progression and transmission. Anti-retroviral therapy (ART) has been reported to reduce HIV transmission by lowering VL. However, apart from this beneficial effect, increased levels of population mean set-point viral load (SPVL), an estimator for HIV virulence, have been observed in men who have sex with men (MSM) in the decade following the introduction of ART in The Netherlands. Several studies have been devoted to explain these counter-intuitive trends in SPVL. However, to our knowledge, none of these studies has investigated an explanation in which it arises as the result of a sexually transmitted infection (STI) co-factor in detail. In this study, we adapted an event-based, individual-based model to investigate how STI co-infection and sexual risk behaviour affect the evolution of HIV SPVL in MSM before and after the introduction of ART. The results suggest that sexual risk behaviour has an effect on SPVL and indicate that more data are needed to test the effect of STI co-factors on SPVL. Furthermore, the observed trends in SPVL cannot be explained by sexual risk behaviour and STI co-factors only. We recommend to develop mathematical models including also factors related to viral evolution as reported earlier in the literature. However, this requires more complex models, and the collection of more data for parameter estimation than what is currently available.

Identifiants

pubmed: 34153622
pii: S1755-4365(21)00029-3
doi: 10.1016/j.epidem.2021.100474
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

100474

Informations de copyright

Copyright © 2021 The Authors. Published by Elsevier B.V. All rights reserved.

Auteurs

Diana M Hendrickx (DM)

I-BioStat, Data Science Institute, Hasselt University, Hasselt, Belgium. Electronic address: diana.hendrickx@uhasselt.be.

Wim Delva (W)

I-BioStat, Data Science Institute, Hasselt University, Hasselt, Belgium; The South African Department of Science and Technology-National Research Foundation (DST-NRF) Centre of Excellence in Epidemiological Modelling and Analysis (SACEMA), Stellenbosch University, Stellenbosch, South Africa; Department of Global Health, Faculty of Medicine and Health, Stellenbosch University, Stellenbosch, South Africa; International Centre for Reproductive Health, Ghent University, Ghent, Belgium; Rega Institute for Medical Research, KU Leuven, Leuven, Belgium; School for Data Science and Computational Thinking, Stellenbosch University, Stellenbosch, South Africa.

Niel Hens (N)

I-BioStat, Data Science Institute, Hasselt University, Hasselt, Belgium; Centre for Health Economics Research and Modelling Infectious Diseases, Vaccine & Infectious Disease Institute, University of Antwerp, Antwerp, Belgium.

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