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Estimating HIV incidence using a cross-sectional survey: comparison of three approaches in a hyperendemic setting, Ndhiwa sub-county, Kenya, 2012 | Journal Article / Research | MSF Science Portal
Journal Article
|Research

Estimating HIV incidence using a cross-sectional survey: comparison of three approaches in a hyperendemic setting, Ndhiwa sub-county, Kenya, 2012

Blaizot S, Kim AA, Zeh C, Riche B, Maman D, De Cock KM, Etard JF, Ecochard R

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Abstract
OBJECTIVES
Estimating HIV incidence is critical for identifying groups at risk for HIV infection, planning and targeting interventions, and evaluating these interventions over time. The use of reliable estimation methods for HIV incidence is thus of high importance. The aim of this study was to compare methods for estimating HIV incidence in a population-based cross-sectional survey.

DESIGN/METHODS
The incidence estimation methods evaluated included assay-derived methods, a testing history-derived method, and a probability-based method applied to data from the Ndhiwa HIV Impact in Population Survey (NHIPS). Incidence rates by sex and age and cumulative incidence as a function of age were presented.

RESULTS
HIV incidence ranged from 1.38 [95% confidence interval (CI) 0.67-2.09] to 3.30 [95% CI 2.78-3.82] per 100 person-years overall; 0.59 [95% CI 0.00-1.34] to 2.89 [95% CI 0.86-6.45] in men; and 1.62 [95% CI 0.16-6.04] to 4.03 [95% CI 3.30-4.77] per 100 person-years in women. Women had higher incidence rates than men for all methods. Incidence rates were highest among women aged 15-24 and 25-34 years and highest among men aged 25-34 years.

CONCLUSION
Comparison of different methods showed variations in incidence estimates, but they were in agreement to identify most-at-risk groups. The use and comparison of several distinct approaches for estimating incidence are important to provide the best-supported estimate of HIV incidence in the population.

Countries

Kenya

Subject Area

HIV/AIDSdisease surveillance

Languages

English
DOI
10.1089/AID.2016.0123
Published Date
08 Nov 2016
PubMed ID
27824254
Journal
AIDS Research and Human Retroviruses
Volume | Issue | Pages
Volume 33, Issue 5
Issue Date
2017-05-01
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