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Tracing the Impact of Public Health Interventions on HIV-1 Transmission in Portugal Using Molecular Epidemiology.
Vasylyeva, Tetyana I; du Plessis, Louis; Pineda-Peña, Andrea C; Kühnert, Denise; Lemey, Philippe; Vandamme, Anne-Mieke; Gomes, Perpétua; Camacho, Ricardo J; Pybus, Oliver G; Abecasis, Ana B; Faria, Nuno R.
Afiliação
  • Vasylyeva TI; Department of Zoology, University of Oxford, United Kingdom.
  • du Plessis L; New College, University of Oxford, United Kingdom.
  • Pineda-Peña AC; Department of Zoology, University of Oxford, United Kingdom.
  • Kühnert D; Center for Global Health and Tropical Medicine, Instituto de Higiene e Medicina Tropical, Universidade Nova de Lisboa.
  • Lemey P; Molecular Biology and Immunology Department, Fundación Instituto de Inmunología de Colombia.
  • Vandamme AM; Basic Sciences Department, Universidad del Rosario, Bogotá, Colombia.
  • Gomes P; Max Planck Institute for the Science of Human History, Jena, Germany.
  • Camacho RJ; Laboratory for Clinical and Epidemiological Virology, Department of Microbiology and Immunology, Rega Institute for Medical Research, KU Leuven, Belgium.
  • Pybus OG; Center for Global Health and Tropical Medicine, Instituto de Higiene e Medicina Tropical, Universidade Nova de Lisboa.
  • Abecasis AB; Laboratory for Clinical and Epidemiological Virology, Department of Microbiology and Immunology, Rega Institute for Medical Research, KU Leuven, Belgium.
  • Faria NR; Laboratory of Molecular Biology, LMCBM, SPC, Hospital de Egas Moniz-Centro Hospitalar de Lisboa Ocidental, Lisbon.
J Infect Dis ; 220(2): 233-243, 2019 06 19.
Article em En | MEDLINE | ID: mdl-30805610
ABSTRACT

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 (>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.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Infecções por HIV / HIV-1 País/Região como assunto: Europa Idioma: En Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Reino Unido

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Infecções por HIV / HIV-1 País/Região como assunto: Europa Idioma: En Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Reino Unido