Evidence map›Paper›PMID 31767497›Full record

ArticleEpidemics2020

Phylodynamic analysis of HIV-1 subtypes B, C and CRF 02_AG in Senegal.

Fabrícia F Nascimento, Stefan Baral, Lily Geidelberg, Christinah Mukandavire, Sheree R Schwartz, Gnilane Turpin, Nguissali Turpin, Daouda Diouf, Nafissatou Leye Diouf, Karleen Coly and 5 more

Abstract read
In one paragraph

Article in Epidemics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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

  1. Pooled it
  2. Article
  3. Article
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

15 authors.

Fabrícia F NascimentoDepartment of Infectious Disease Epidemiology, Imperial College London, Norfolk Place W2 1PG, UK.
Stefan BaralDepartment of Epidemiology, Johns Hopkins School of Public Health, Baltimore, MD, USA.
Lily GeidelbergDepartment of Infectious Disease Epidemiology, Imperial College London, Norfolk Place W2 1PG, UK.
Christinah MukandavireDepartment of Infectious Disease Epidemiology, Imperial College London, Norfolk Place W2 1PG, UK.
Sheree R SchwartzDepartment of Epidemiology, Johns Hopkins School of Public Health, Baltimore, MD, USA.
Gnilane TurpinDepartment of Epidemiology, Johns Hopkins School of Public Health, Baltimore, MD, USA.
Nguissali TurpinEnda Sante, Dakar, Senegal.
Daouda DioufEnda Sante, Dakar, Senegal.
Nafissatou Leye DioufInstitut de Recherche en Santé, de Surveillance Epidemiologique et de Formations, Dakar, Senegal.
Karleen ColyDepartment of Epidemiology, Johns Hopkins School of Public Health, Baltimore, MD, USA.
Coumba Toure KaneInstitut de Recherche en Santé, de Surveillance Epidemiologique et de Formations, Dakar, Senegal.
Cheikh NdourDivision de La Lutte Contre Le Sida et Les IST, Ministry of Health, Dakar, Senegal.
Peter VickermanPopulation Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
Marie-Claude BoilyDepartment of Infectious Disease Epidemiology, Imperial College London, Norfolk Place W2 1PG, UK.
Erik M VolzDepartment of Infectious Disease Epidemiology, Imperial College London, Norfolk Place W2 1PG, UK; MRC Centre for Global Infectious Disease Analysis, Imperial College London, UK. Electronic address: e.volz@imperial.ac.uk.

Funding

SDMC: HPTN 084 Pregnancy SupplementUM1AI068617 · NIAID · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Elizabeth Renata Brown, Deborah J Donnell · 2011 to 2026
$204.9M
Vaccine Response and Immunotherapeutics SWGP30AI094189 · NIAID · JOHNS HOPKINS UNIVERSITY · PI Richard E. Chaisson · 2012 to 2026
$67.0M
Medical Research Council MR/R015600/1NIAID NIH HHS P30 AI094189NIAID NIH HHS UM1 AI068617
6 · The paper itself

Abstract

Surveillance of HIV epidemics in key populations and in developing countries is often challenging due to sparse, incomplete, or low-quality data. Analysis of HIV sequence data can provide an alternative source of information about epidemic history, population structure, and transmission patterns. To understand HIV-1 dynamics and transmission patterns in Senegal, we carried out model-based phylodynamic analyses using the structured-coalescent approach using HIV-1 sequence data from three different subgroups: reproductive aged males and females from the adult Senegalese population and men who have sex with other men (MSM). We fitted these phylodynamic analyses to time-scaled phylogenetic trees individually for subtypes C and CRF 02_AG, and for the combined data for subtypes B, C and CRF 02_AG. In general, the combined analysis showed a decreasing proportion of effective number of infections among all reproductive aged adults relative to MSM. However, we observed a nearly time-invariant distribution for subtype CRF 02_AG and an increasing trend for subtype C on the proportion of effective number of infections. The population attributable fraction also differed between analyses: subtype CRF 02_AG showed little contribution from MSM, while for subtype C and combined analyses this contribution was much higher. Despite observed differences, results suggested that the combination of high assortativity among MSM and the unmet HIV prevention and treatment needs represent a significant component of the HIV epidemic in Senegal.

Indexed as

Models, TheoreticalPhylogenyAdultEpidemicsFemaleHIV-1HIV InfectionsHomosexuality, MaleHumansMaleMiddle AgedSenegalSexual and Gender MinoritiesYoung AdultCoalescentHIVKey populationsPhylodynamics

Identifiers

PMID31767497
PMCPMC10066795

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.