Evidence map›Paper›PMID 32348290›Full record

ArticleJMIR public health and surveillance2020

Rates and Correlates of HIV Incidence in Namibia's Zambezi Region From 2014 to 2016: Sentinel, Community-Based Cohort Study.

Andrew D Maher, Tuli Nakanyala, Nicholus Mutenda, Karen M Banda, Dimitri Prybylski, Adam Wolkon, Anna Jonas, Souleymane Sawadogo, Charity Ntema, Melody Regina Chipadze and 10 more

Open access · goldAbstract read
In one paragraph

Article in JMIR public health and surveillance, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.0field-weighted citation impact, top 63% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
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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

20 authors at 3 institutions in 3 countries.

Andrew D MaherInstitute for Global Health Sciences, University of California San Francisco, San Francisco, CA, United States.ORCID 0000-0001-5498-4509
Tuli NakanyalaDirectorate for Special Programs, Ministry of Health and Social Services, Windhoek, Namibia.ORCID 0000-0002-2876-0373
Nicholus MutendaDirectorate for Special Programs, Ministry of Health and Social Services, Windhoek, Namibia.ORCID 0000-0003-2613-1159
Karen M BandaDirectorate for Special Programs, Ministry of Health and Social Services, Windhoek, Namibia.ORCID 0000-0002-1329-3039
Dimitri PrybylskiDivision of Global HIV and TB, US Centers for Disease Control and Prevention, Atlanta, GA, United States.ORCID 0000-0001-7507-1143
Adam WolkonDivision of Global HIV and TB, US Centers for Disease Control and Prevention, Atlanta, GA, United States.ORCID 0000-0002-8612-5765
Anna JonasDirectorate for Special Programs, Ministry of Health and Social Services, Windhoek, Namibia.ORCID 0000-0003-1461-3214
Souleymane SawadogoDivision of Global HIV and TB, US Centers for Disease Control and Prevention, Atlanta, GA, United States.ORCID 0000-0002-4206-4454
Charity NtemaTotal Control of the Epidemic, Development Aid from People to People, Windhoek, Namibia.ORCID 0000-0002-1253-0565
Melody Regina ChipadzeTotal Control of the Epidemic, Development Aid from People to People, Windhoek, Namibia.ORCID 0000-0002-5346-7726
Grace SinvulaTotal Control of the Epidemic, Development Aid from People to People, Windhoek, Namibia.ORCID 0000-0003-3052-2179
Annastasia TizoraTotal Control of the Epidemic, Development Aid from People to People, Windhoek, Namibia.ORCID 0000-0002-6170-7902
Asen MwandemeleInstitute for Global Health Sciences, University of California San Francisco, San Francisco, CA, United States.ORCID 0000-0003-3990-2055
Shaan ChaturvediInstitute for Global Health Sciences, University of California San Francisco, San Francisco, CA, United States.ORCID 0000-0001-8556-9754
Afiba Manza-A AgoviInstitute for Global Health Sciences, University of California San Francisco, San Francisco, CA, United States.ORCID 0000-0001-7995-8358
Simon AgoloryDivision of Global HIV and TB, US Centers for Disease Control and Prevention, Atlanta, GA, United States.ORCID 0000-0001-5023-5754
Ndapewa HamunimeDirectorate for Special Programs, Ministry of Health and Social Services, Windhoek, Namibia.ORCID 0000-0002-8864-8148
David W LowranceDivision of Global HIV and TB, US Centers for Disease Control and Prevention, Atlanta, GA, United States.ORCID 0000-0002-7976-7583
Willi McfarlandInstitute for Global Health Sciences, University of California San Francisco, San Francisco, CA, United States.ORCID 0000-0002-4148-5660
Sadhna V PatelDivision of Global HIV and TB, US Centers for Disease Control and Prevention, Atlanta, GA, United States.ORCID 0000-0002-9911-5144
Centers for Disease Control and Prevention · USMinistry of Health and Social Services · NAUniversity of California, San Francisco · US

Funding

CGH CDC HHS U2G GH000977PEPFAR
6 · The paper itself

Abstract

backgroundDirect measures of HIV incidence are needed to assess the population-level impact of prevention programs but are scarcely available in the subnational epidemic hotspots of sub-Saharan Africa. We created a sentinel HIV incidence cohort within a community-based program that provided home-based HIV testing to all residents of Namibia's Zambezi region, where approximately 24% of the adult population was estimated to be living with HIV.

objectiveThe aim of this study was to estimate HIV incidence, detect correlates of HIV acquisition, and assess the feasibility of the sentinel, community-based approach to HIV incidence surveillance in a subnational epidemic hotspot.

methodsFollowing the program's initial home-based testing (December 2014-July 2015), we purposefully selected 10 clusters of 60 to 70 households each and invited residents who were HIV negative and aged ≥15 years to participate in the cohort. Consenting participants completed behavioral interviews and a second HIV test approximately 1 year later (March-September 2016). We used Poisson models to calculate HIV incidence rates between baseline and follow-up and multivariable Cox proportional hazard models to assess the correlates of seroconversion.

resultsAmong 1742 HIV-negative participants, 1624 (93.23%) completed follow-up. We observed 26 seroconversions in 1954 person-years (PY) of follow-up, equating to an overall incidence rate of 1.33 per 100 PY (95% CI 0.91-1.95). Among women, the incidence was 1.55 per 100 PY (95% CI 1.12-2.17) and significantly higher among those aged 15 to 24 years and residing in rural areas (adjusted hazard ratio [aHR] 4.26, 95% CI 1.39-13.13; P=.01), residing in the Ngweze suburb of Katima Mulilo city (aHR 2.34, 95% CI 1.25-4.40; P=.01), who had no prior HIV testing in the year before cohort enrollment (aHR 3.38, 95% CI 1.04-10.95; P=.05), and who had engaged in transactional sex (aHR 17.64, 95% CI 2.88-108.14; P=.02). Among men, HIV incidence was 1.05 per 100 PY (95% CI 0.54-2.31) and significantly higher among those aged 40 to 44 years (aHR 13.04, 95% CI 5.98-28.41; P<.001) and had sought HIV testing outside the study between baseline and follow-up (aHR 8.28, 95% CI 1.39-49.38; P=.02). No seroconversions occurred among persons with HIV-positive partners on antiretroviral treatment.

conclusionsNearly three decades into Namibia's generalized HIV epidemic, these are the first estimates of HIV incidence for its highest prevalence region. By creating a sentinel incidence cohort from the infrastructure of an existing community-based testing program, we were able to characterize current transmission patterns, corroborate known risk factors for HIV acquisition, and provide insight into the efficacy of prevention interventions in a subnational epidemic hotspot. This study demonstrates an efficient and scalable framework for longitudinal HIV incidence surveillance that can be implemented in diverse sentinel sites and populations.

Indexed as

IncidenceSentinel SurveillanceAdolescentAdultCohort StudiesFemaleHIV InfectionsHumansMaleMiddle AgedNamibiaProportional Hazards ModelsProspective StudiesRisk Factorscohort studiesHIVincidencelongitudinal studiesrisk factorssentinel surveillance

Identifiers

PMID32348290
PMCPMC7381049
OpenAlexW3009224061

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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.