Tracing the Impact of Public Health Interventions on HIV-1 Transmission in Portugal Using Molecular Epidemiology

Background: Estimation of temporal changes in human immunodeficiency virus (HIV) transmission patterns can help to elucidate the impact of preventive strategies and public health policies. Methods: Portuguese HIV-1 subtype B and G pol genetic sequences were appended to global reference data sets to identify country-specific transmission clades. Bayesian birth-death models were used to estimate subtype-specific effective reproductive numbers (Re). Discrete trait analysis (DTA) was used to quantify mixing among transmission groups. Results: We identified 5 subtype B Portuguese clades (26-79 sequences) and a large monophyletic subtype G Portuguese clade (236 sequences). We estimated that major shifts in HIV-1 transmission occurred around 1999 (95% Bayesian credible interval [BCI], 1998-2000) and 2000 (95% BCI, 1998-2001) for subtypes B and G, respectively. For subtype B, Re dropped from 1.91 (95% BCI, 1.73-2.09) to 0.62 (95% BCI,.52-.72). For subtype G, Re decreased from 1.49 (95% BCI, 1.39-1.59) to 0.72 (95% BCI,. 63-.8). The DTA suggests that people who inject drugs (PWID) and heterosexuals were the source of most ( and gt;80%) virus lineage transitions for subtypes G and B, respectively. Conclusions: The estimated declines in Re coincide with the introduction of highly active antiretroviral therapy and the scale-up of harm reduction for PWID. Inferred transmission events across transmission groups emphasize the importance of prevention efforts for bridging populations. © 2019 The Author(s) 2019. Published by Oxford University Press for the Infectious Diseases Society of America.

• Fecha de publicación: 2019
• Institución: Universidad del Rosario
• Repositorio: Repositorio EdocUR - U. Rosario
• Idioma: eng
• OAI Identifier: oai:repository.urosario.edu.co:10336/22379
• Acceso en línea: https://doi.org/10.1093/infdis/jiz085; https://repository.urosario.edu.co/handle/10336/22379
• Palabra clave: Pol protein; Bayes theorem; Genetics; Human; Human immunodeficiency virus 1; Human immunodeficiency virus infection; Molecular epidemiology; Phylogeny; Portugal; Public health; Virology; Bayes Theorem; HIV Infections; HIV-1; Humans; Molecular Epidemiology; Phylogeny; Portugal; Public Health; Epidemiology; Harm reduction; HIV; Phylodynamics; Portugal; Reproductive number; Transmission groups; Human Immunodeficiency Virus; Pol Gene Products
• License: Abierto (Texto Completo)