ReviewCurrent opinion in HIV and AIDS2019
PANGEA-HIV 2: Phylogenetics And Networks for Generalised Epidemics in Africa.
Review in Current opinion in HIV and AIDS, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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.
Who cites it
33 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Pooled it
- HIV-1 variants in population-based national surveys in sub-Saharan Africa, 2015-2022.AIDS (London, England) · 2026Article
- Community Perceptions Regarding use of HIV Molecular Epidemiology for Public Health in Victoria, Australia: Qualitative Findings.Journal of bioethical inquiry · 2026Article
- Ethical considerations and the social context of HIV phylogenetic research in uMkhanyakude district, KwaZulu-Natal, South Africa.Southern African journal of HIV medicine · 2026Article
- HIV drug resistance during antiretroviral therapy scale-up in Uganda, 2012-19: a population-based, longitudinal study.The Lancet. Microbe · 2025Article
- Patterns of HIV-1 viral load suppression and drug resistance during the dolutegravir transition: a population-based longitudinal study.medRxiv : the preprint server for health sciences · 2025Article
- HIV-phyloTSI: subtype-independent estimation of time since HIV-1 infection for cross-sectional measures of population incidence using deep sequence data.BMC bioinformatics · 2025Article
- Quantifying prevalence and risk factors of HIV multiple infection in Uganda from population-based deep-sequence data.PLoS pathogens · 2025Article
- Evidence from HIV sequencing for blood-borne transmission in Africa.Journal of public health in Africa · 2025Review
- Geospatial and phylogenetic clustering of acute and recent HIV infections in Lilongwe, Malawi.PLOS global public health · 2025Article
- Population dynamics of HIV drug resistance during treatment scale-up in Uganda: a population-based longitudinal study.medRxiv : the preprint server for health sciences · 2024Article
- HIV-1 subtype A1, D, and recombinant proviral genome landscapes during long-term suppressive therapy.Nature communications · 2024Article
- Increasing intra- and inter-subtype HIV diversity despite declining HIV incidence in Uganda.medRxiv : the preprint server for health sciences · 2024Article
- Intra- and inter-subtype HIV diversity between 1994 and 2018 in southern Uganda: a longitudinal population-based study.Virus evolution · 2024Article
- HIVseqDB: a portable resource for NGS and sample metadata integration for HIV-1 drug resistance analysis.Bioinformatics advances · 2024Article
- Longitudinal population-level HIV epidemiologic and genomic surveillance highlights growing gender disparity of HIV transmission in Uganda.Nature microbiology · 2024Article
- Public health use of HIV phylogenetic data in sub-Saharan Africa: ethical issues.BMJ global health · 2023Review
- Genofunc: genome annotation and identification of genome features for automated pipelining analysis of virus whole genome sequences.BMC bioinformatics · 2023Article
- Epidemiological and viral characteristics of undiagnosed HIV infections in Botswana.BMC infectious diseases · 2022Article
- HIV-1 drug resistance genotyping success rates and correlates of Dried-blood spots and plasma specimen genotyping failure in a resource-limited setting.BMC infectious diseases · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
purpose of reviewThe HIV epidemic in sub-Saharan Africa is far from being under control and the ambitious UNAIDS targets are unlikely to be met by 2020 as declines in per-capita incidence being largely offset by demographic trends. There is an increasing number of proven and specific HIV prevention tools, but little consensus on how best to deploy them. RECENT
findingsTraditionally, phylogenetics has been used in HIV research to reconstruct the history of the epidemic and date zoonotic infections, whereas more recent publications focus on HIV diversity and drug resistance. However, it is also the most powerful method of source attribution available for the study of HIV transmission. The PANGEA (Phylogenetics And Networks for Generalized Epidemics in Africa) consortium has generated over 18 000 NGS HIV sequences from five countries in sub-Saharan Africa. Using phylogenetic methods, we will identify characteristics of individuals or groups, which are most likely to be at risk of infection or at risk of infecting others. SUMMARY: Combining phylogenetics, phylodynamics and epidemiology will allow PANGEA to highlight where prevention efforts should be focussed to reduce the HIV epidemic most effectively. To maximise the public health benefit of the data, PANGEA offers accreditation to external researchers, allowing them to access the data and join the consortium. We also welcome submissions of other HIV sequences from sub-Saharan Africa to the database.
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Registered trials
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.