Evidence map›Paper›PMID 34661964›Full record

ArticleJournal of the International AIDS Society2021

Modelling the impact of HIV and HCV prevention and treatment interventions for people who inject drugs in Dar es Salaam, Tanzania.

Hannah Fraser, Jack Stone, Ernst Wisse, Veryeh Sambu, Peter Mfisi, Ivan J Duran, Mireia Aguirre Soriano, Josephine G Walker, Nobelrich Makere, Niklas Luhmann and 5 more

Open access · goldAbstract read
In one paragraph

Article in Journal of the International AIDS Society, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.1field-weighted citation impact, top 22% of its field
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

6 citing papers in PubMed, 9 citations in OpenAlex.

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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

15 authors at 6 institutions in 5 countries.

Hannah FraserPopulation HealthSciences, Bristol Medical School, University of Bristol, Bristol, UK.ORCID 0000-0002-4340-9995
Jack StonePopulation HealthSciences, Bristol Medical School, University of Bristol, Bristol, UK.ORCID 0000-0002-4584-0068
Ernst WisseMédecins duMonde, Paris, France.
Veryeh SambuNational AIDS Control Programmes, Dar es Salaam, Tanzania.
Peter MfisiThe Drug Control and Enforcement Authority, Prime Ministers Office, Dar es Salaam, Tanzania.
Ivan J DuranMédecins duMonde, Paris, France.
Mireia Aguirre SorianoMédecins duMonde, Paris, France.
Josephine G WalkerPopulation HealthSciences, Bristol Medical School, University of Bristol, Bristol, UK.
Nobelrich MakereTanzania Council for Social Development (TACOSODE), Dar es Salaam, Tanzania.
Niklas LuhmannMédecins duMonde, Paris, France.
William KafuraTanzania Commission for AIDS (TACAIDS), Dar es Salaam, Tanzania.
Maieule NouvelletMédecins duMonde, Paris, France.
Allan RagiKenya AIDS NGO Consortium, Nairobi, Kenya.
Bernard MundiaKenya AIDS NGO Consortium, Nairobi, Kenya.
Peter VickermanPopulation HealthSciences, Bristol Medical School, University of Bristol, Bristol, UK.ORCID 0000-0002-8291-5890
At Bristol · GBKenya AIDS NGOs Consortium · KEArusha City Council · TZNational AIDS Council · ZWPrime Minister's Office · BNTanzania Commission for AIDS · TZ

Funding

Optimizing HIV prevention portfolios targeting people who inject drugs using dynamic economic modelingR01AI147490 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI MARTIN, NATASHA · 2019 to 2022
$2.3M
NIAID NIH HHS R01 AI147490
6 · The paper itself

Abstract

introductionPeople who inject drugs (PWID) in Dar es Salaam, Tanzania, have a high prevalence of HIV and hepatitis C virus (HCV). While needle and syringe programmes (NSP), opioid agonist therapy (OAT) and anti-retroviral therapy (ART) are available in Tanzania, their coverage is sub-optimal. We assess the impact of existing and scaled up harm reduction (HR) interventions on HIV and HCV transmission among PWID in Dar es Salaam.

methodsAn HIV and HCV transmission model among PWID in Tanzania was calibrated to data over 2006-2018 on HIV (∼30% and ∼67% prevalence in males and females in 2011) and HCV prevalence (∼16% in 2017), numbers on HR interventions (5254 ever on OAT in 2018, 766-1479 accessing NSP in 2017) and ART coverage (63.1% in 2015). We evaluated the impact of existing interventions in 2019 and impact by 2030 of scaling-up the coverage of OAT (to 50% of PWID), NSP (75%, both combined termed "full HR") and ART (81% with 90% virally suppressed) from 2019, reducing sexual HIV transmission by 50%, and/or HCV-treating 10% of PWID infected with HCV annually.

resultsThe model projects HIV and HCV prevalence of 19.0% (95% credibility interval: 16.4-21.2%) and 41.0% (24.4-49.0%) in 2019, respectively. For HIV, 24.6% (13.6-32.6%) and 70.3% (59.3-77.1%) of incident infections among male and female PWID are sexually transmitted, respectively. Due to their low coverage (22.8% for OAT, 16.3% for NSP in 2019), OAT and NSP averted 20.4% (12.9-24.7%) of HIV infections and 21.7% (17.0-25.2%) of HCV infections in 2019. Existing ART (68.5% coverage by 2019) averted 48.1% (29.7-64.3%) of HIV infections in 2019. Scaling up to full HR will reduce HIV and HCV incidence by 62.6% (52.5-74.0%) and 81.4% (56.7-81.4%), respectively, over 2019-2030; scaled up ART alongside full HR will decrease HIV incidence by 66.8% (55.6-77.5%), increasing to 81.5% (73.7-87.5%) when sexual risk is also reduced. HCV-treatment alongside full HR will decrease HCV incidence by 92.4% (80.7-95.8%) by 2030.

conclusionsCombination interventions, including sexual risk reduction and HCV treatment, are needed to eliminate HCV and HIV among PWID in Tanzania.

Indexed as

Hepatitis CHIV InfectionsPharmaceutical PreparationsSubstance Abuse, IntravenousFemaleHepacivirusHumansMalePrevalenceTanzaniaPharmaceutical PreparationsDar es Salaamhepatitis C virusHIVmathematical modellingpeople who inject drugsTanzania

Identifiers

PMID34661964
PMCPMC8522890
OpenAlexW3206983254

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.