Evidence map›Paper›PMID 30804361›Full record

ArticleScientific reports2019

The effect of interventions on the transmission and spread of HIV in South Africa: a phylodynamic analysis.

Eduan Wilkinson, Dennis Maletich Junqueira, Richard Lessells, Susan Engelbrecht, Gert van Zyl, Tulio de Oliveira, Marco Salemi

Abstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. SAHCS 2021 Conference Summary.Southern African journal of HIV medicine · 2022
    Article
  5. Article
  6. Article
  7. Review
  8. Review
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

7 authors.

Eduan WilkinsonEmerging Pathogens Institute, University of Florida, Gainesville, Florida, 32608, United States of America. ewilkinson83@gmail.com.
Dennis Maletich JunqueiraKwaZulu-Natal Research Innovation and Sequencing Platform (KRISP), Nelson R Mandela School of Medicine, University of KwaZulu-Natal, Durban, 4001, South Africa.
Richard LessellsSchool of Laboratory Medicine and Medical Science, Department of Health Sciences, University of KwaZulu-Natal, Durban, 4001, South Africa.ORCID 0000-0003-0926-710X
Susan EngelbrechtDivision of Medical Virology, Department of Pathology, Faculty of Medicine and Health Sciences, Stellenbosch University, Tygerberg, Cape Town, South Africa.ORCID 0000-0002-1318-5994
Gert van ZylDivision of Medical Virology, Department of Pathology, Faculty of Medicine and Health Sciences, Stellenbosch University, Tygerberg, Cape Town, South Africa.
Tulio de OliveiraKwaZulu-Natal Research Innovation and Sequencing Platform (KRISP), Nelson R Mandela School of Medicine, University of KwaZulu-Natal, Durban, 4001, South Africa.
Marco SalemiEmerging Pathogens Institute, University of Florida, Gainesville, Florida, 32608, United States of America.

Funding

HIV Dynamic Modelling for Identification of Transmission Epicenters (HIV-DYNAMITE)R21AI138815 · NIAID · UNIVERSITY OF FLORIDA · PI PROSPERI, MATTIA, SALEMI, MARCO · 2018 to 2019
$419k
NIAID NIH HHS R21 AI138815
6 · The paper itself

Abstract

The epidemic in South Africa is characterized by high genetic diversity driven by multiple independent introductions. The bulk of these introductions occurred between 1985-2000 during which time HIV prevalence increased exponentially. Epidemic growth has stabilized in recent years with the implementation of several interventions. Here we identified distinct HIV clades from a large sequence dataset of southern African HIV sequences (n = 15,332). Each clade was characterized using phylodynamic and phylogeographic methods to infer their growth through time and space. The estimated date of origin for the 18 clades that were found, fell between 1979-1992 with strong growth during the 1990's. Phylogeographic reconstruction revealed wide dispersal of clades throughout the country with the city of Johannesburg as the focal point of viral dispersal. We found clear signs of decreasing growth rate in four of the clades since the advent of interventions, while other clades have continued to growth and expand. Our results demonstrate that interventions do not affect the HIV epidemic universally with major difference between different clades over time and space. Here we demonstrate the utility and flexibility of molecular epidemiological methods and demonstrate how they can potentially be a powerful tool in HIV epidemic monitoring in South Africa.

Indexed as

Early Medical InterventionHIVAntiretroviral Therapy, Highly ActiveGenetic VariationGenotypeHIV InfectionsHumansPhylogenyPhylogeographyPublic Health SurveillanceSouth Africa

Identifiers

PMID30804361
PMCPMC6389914

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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.