Evidence map›Paper›PMID 30805610›Full record

ArticleThe Journal of infectious diseases2019

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

Tetyana I Vasylyeva, Louis du Plessis, Andrea C Pineda-Peña, Denise Kühnert, Philippe Lemey, Anne-Mieke Vandamme, Perpétua Gomes, Ricardo J Camacho, Oliver G Pybus, Ana B Abecasis and 1 more

Abstract read
In one paragraph

Article in The Journal of infectious diseases, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
–field-weighted citation impact
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

19 citing papers in PubMed.

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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

11 authors.

Tetyana I VasylyevaDepartment of Zoology, University of Oxford, United Kingdom.
Louis du PlessisDepartment of Zoology, University of Oxford, United Kingdom.
Andrea C Pineda-PeñaCenter for Global Health and Tropical Medicine, Instituto de Higiene e Medicina Tropical, Universidade Nova de Lisboa.
Denise KühnertMax Planck Institute for the Science of Human History, Jena, Germany.
Philippe LemeyLaboratory for Clinical and Epidemiological Virology, Department of Microbiology and Immunology, Rega Institute for Medical Research, KU Leuven, Belgium.
Anne-Mieke VandammeCenter for Global Health and Tropical Medicine, Instituto de Higiene e Medicina Tropical, Universidade Nova de Lisboa.
Perpétua GomesLaboratory of Molecular Biology, LMCBM, SPC, Hospital de Egas Moniz-Centro Hospitalar de Lisboa Ocidental, Lisbon.
Ricardo J CamachoLaboratory for Clinical and Epidemiological Virology, Department of Microbiology and Immunology, Rega Institute for Medical Research, KU Leuven, Belgium.
Oliver G PybusDepartment of Zoology, University of Oxford, United Kingdom.
Ana B AbecasisCenter for Global Health and Tropical Medicine, Instituto de Higiene e Medicina Tropical, Universidade Nova de Lisboa.
Nuno R FariaDepartment of Zoology, University of Oxford, United Kingdom.

Funding

Wellcome TrustWellcome Trust 204311/Z/16/Z
6 · The paper itself

Abstract

backgroundEstimation of temporal changes in human immunodeficiency virus (HIV) transmission patterns can help to elucidate the impact of preventive strategies and public health policies.

methodsPortuguese 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.

resultsWe 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.

conclusionsThe 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.

Indexed as

Bayes TheoremHIV-1HIV InfectionsHumansMolecular EpidemiologyPhylogenypol Gene Products, Human Immunodeficiency VirusPortugalPublic Healthpol Gene Products, Human Immunodeficiency Virusepidemiologyharm reductionHIVphylodynamicsPortugalreproductive numbertransmission groups

Identifiers

PMID30805610
PMCPMC6581889

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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.