Evidence map›Paper›PMID 35920649›Full record

ArticleeLife2022

Estimating the potential to prevent locally acquired HIV infections in a UNAIDS Fast-Track City, Amsterdam.

Alexandra Blenkinsop, Mélodie Monod, Ard van Sighem, Nikos Pantazis, Daniela Bezemer, Eline Op de Coul, Thijs van de Laar, Christophe Fraser, Maria Prins, Peter Reiss and 3 more

Abstract read
In one paragraph

Article in eLife, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. A 95% decline in estimated newly acquired HIV infections, Amsterdam, 2010 to 2022.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2023
    Article
  6. Molecular source attribution.PLoS computational biology · 2022
    Article
  7. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors.

Alexandra BlenkinsopDepartment of Mathematics, Imperial College London, London, United Kingdom.ORCID 0000-0002-2328-8671
Mélodie MonodDepartment of Mathematics, Imperial College London, London, United Kingdom.
Ard van SighemStichting HIV Monitoring, Amsterdam, Netherlands.ORCID 0000-0002-6656-0516
Nikos PantazisDepartment of Hygiene, Epidemiology and Medical Statistics, University of Athens, Athens, Greece.
Daniela BezemerStichting HIV Monitoring, Amsterdam, Netherlands.
Eline Op de CoulCenter for Infectious Diseases Prevention and Control, National Institute for Public Health and the Environment (RIVM), Bilthoven, Netherlands.
Thijs van de LaarDepartment of Donor Medicine Research, Sanquin, Amsterdam, Netherlands.
Christophe FraserBig Data Institute, Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom.
Maria PrinsAcademic Medical Center, Amsterdam, Netherlands.
Peter ReissAmsterdam Institute for Global Health and Development, Amsterdam, Netherlands.
Godelieve J de BreeAmsterdam Institute for Global Health and Development, Amsterdam, Netherlands.
Oliver RatmannDepartment of Mathematics, Imperial College London, London, United Kingdom.
HIV Transmission Elimination AMsterdam (H-TEAM) collaboration

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: More than 300 cities including the city of Amsterdam in the Netherlands have joined the UNAIDS Fast-Track Cities initiative, committing to accelerate their HIV response and end the AIDS epidemic in cities by 2030. To support this commitment, we aimed to estimate the number and proportion of Amsterdam HIV infections that originated within the city, from Amsterdam residents. We also aimed to estimate the proportion of recent HIV infections during the 5-year period 2014-2018 in Amsterdam that remained undiagnosed. Methods: We located diagnosed HIV infections in Amsterdam using postcode data (PC4) at time of registration in the ATHENA observational HIV cohort, and used HIV sequence data to reconstruct phylogeographically distinct, partially observed Amsterdam transmission chains. Individual-level infection times were estimated from biomarker data, and used to date the phylogenetically observed transmission chains as well as to estimate undiagnosed proportions among recent infections. A Bayesian Negative Binomial branching process model was used to estimate the number, size, and growth of the unobserved Amsterdam transmission chains from the partially observed phylogenetic data. Results: Between 1 January 2014 and 1 May 2019, there were 846 HIV diagnoses in Amsterdam residents, of whom 516 (61%) were estimated to have been infected in 2014-2018. The rate of new Amsterdam diagnoses since 2014 (104 per 100,000) remained higher than the national rates excluding Amsterdam (24 per 100,000), and in this sense Amsterdam remained a HIV hotspot in the Netherlands. An estimated 14% [12-16%] of infections in Amsterdan MSM in 2014-2018 remained undiagnosed by 1 May 2019, and 41% [35-48%] in Amsterdam heterosexuals, with variation by region of birth. An estimated 67% [60-74%] of Amsterdam MSM infections in 2014-2018 had an Amsterdam resident as source, and 56% [41-70%] in Amsterdam heterosexuals, with heterogeneity by region of birth. Of the locally acquired infections, an estimated 43% [37-49%] were in foreign-born MSM, 41% [35-47%] in Dutch-born MSM, 10% [6-18%] in foreign-born heterosexuals, and 5% [2-9%] in Dutch-born heterosexuals. We estimate the majority of Amsterdam MSM infections in 2014-2018 originated in transmission chains that pre-existed by 2014. Conclusions: This combined phylogenetic, epidemiologic, and modelling analysis in the UNAIDS Fast-Track City Amsterdam indicates that there remains considerable potential to prevent HIV infections among Amsterdam residents through city-level interventions. The burden of locally acquired infection remains concentrated in MSM, and both Dutch-born and foreign-born MSM would likely benefit most from intensified city-level interventions. Funding: This study received funding as part of the H-TEAM initiative from Aidsfonds (project number P29701). The H-TEAM initiative is being supported by Aidsfonds (grant number: 2013169, P29701, P60803), Stichting Amsterdam Dinner Foundation, Bristol-Myers Squibb International Corp. (study number: AI424-541), Gilead Sciences Europe Ltd (grant number: PA-HIV-PREP-16-0024), Gilead Sciences (protocol numbers: CO-NL-276-4222, CO-US-276-1712, CO-NL-985-6195), and M.A.C AIDS Fund.

Indexed as

Acquired Immunodeficiency SyndromeHIV InfectionsBayes TheoremCitiesHomosexuality, MaleHumansMalePhylogenyepidemiologyevolutionary biologyglobal healthHIV-1introductionmigrationphylogeneticstransmission chainsviruses

Identifiers

PMID35920649
PMCPMC9545569

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.