Evidence map›Paper›PMID 24445338›Full record

ArticleJournal of acquired immune deficiency syndromes (1999)2014

Prevalence and incidence of HIV infection, trends, and risk factors among persons aged 15-64 years in Kenya: results from a nationally representative study.

Davies O Kimanga, Samuel Ogola, Mamo Umuro, Anne Ng'ang'a, Lucy Kimondo, Patrick Murithi, James Muttunga, Wanjiru Waruiru, Ibrahim Mohammed, Shahnaaz Sharrif and 3 more

Abstract read
In one paragraph

Article in Journal of acquired immune deficiency syndromes (1999), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 103 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
103citing papers in PubMed, 1 pooled it
11.1field-weighted citation impact, top 1% 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

103 citing papers in PubMed, 1 synthesis or guideline pooled it, 141 citations in OpenAlex.

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43 more citing papers are in PubMed but not listed here.

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

13 authors at 4 institutions in 3 countries.

Davies O Kimanga*The National AIDS and Sexually Transmitted Infection (STI) Control Programme, Ministry of Health, Nairobi, Kenya; †Kenya National Bureau of Statistics, Nairobi, Kenya; ‡National Public Health Laboratory Services, Ministry of Health, Nairobi, Kenya; §The National Council for Population and Development, Nairobi, Kenya; ‖National AIDS Control Council, Nairobi, Kenya; ¶Kenya Medical Research Institute, Nairobi, Kenya; #Global Health Sciences, University of California, San Francisco, San Francisco, CA; **Ministry of Health, Nairobi, Kenya; and ††Division of Global HIV/AIDS, Center for Global Health, US Centers for Disease Control and Prevention, Nairobi, Kenya.
Samuel Ogola
Mamo Umuro
Anne Ng'ang'a
Lucy Kimondo
Patrick Murithi
James Muttunga
Wanjiru Waruiru
Ibrahim Mohammed
Shahnaaz Sharrif
Kevin M De Cock
Andrea A Kim
KAIS Study Group
Ministry of Health · KENational Aids Control Council · KENational Public Health Laboratory · NPUniversity of California, San Francisco · US

Funding

CGH CDC HHS U19 GH000069Intramural CDC HHS CC999999
6 · The paper itself

Abstract

backgroundEnhanced HIV surveillance using demographic, behavioral, and biologic data from national surveys can provide information to evaluate and respond to HIV epidemics efficiently.

methodsFrom October 2012 to February 2013, we conducted a 2-stage cluster sampling survey of persons aged 18 months to 64 years in 9 geographic regions in Kenya. Participants answered questionnaires and provided blood for HIV testing. We estimated HIV prevalence, HIV incidence, described trends in HIV prevalence over the past 5 years, and identified factors associated with HIV infection. This analysis was restricted to persons aged 15-64 years.

resultsHIV prevalence was 5.6% [95% confidence interval (CI): 4.9 to 6.3] in 2012, a significant decrease from 2007, when HIV prevalence, excluding the North Eastern region, was 7.2% (95% CI: 6.6 to 7.9). HIV incidence was 0.5% (95% CI: 0.2 to 0.9) in 2012. Among women, factors associated with undiagnosed HIV infection included being aged 35-39 years, divorced or separated, from urban residences and Nyanza region, self-perceiving a moderate risk of HIV infection, condom use with the last partner in the previous 12 months, and reporting 4 or more lifetime number of partners. Among men, widowhood, condom use with the last partner in the previous 12 months, and lack of circumcision were associated with undiagnosed HIV infection.

conclusionsHIV prevalence has declined in Kenya since 2007. With improved access to treatment, HIV prevalence has become more challenging to interpret without data on new infections and mortality. Correlates of undiagnosed HIV infection provide important information on where to prioritize prevention interventions to reduce transmission of HIV in the broader population.

Indexed as

Population SurveillanceAdolescentAdultAge FactorsCircumcision, MaleCondomsFemaleHealth SurveysHIV SeropositivityHumansIncidenceKenyaMaleMarital StatusMiddle AgedPrevalence

Identifiers

PMID24445338
PMCPMC4794992
OpenAlexW2076033929

What OpenQuestion holds

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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.