HIV Incidence in Sub-Saharan Africa: A Review of Available Data with Implications for Surveillance and Prevention Planning

被引:0
作者
Braunstein, Sarah L. [1 ]
van de Wijgert, Janneke H. H. M. [2 ]
Nash, Denis [1 ,3 ]
机构
[1] Columbia Univ, Mailman Sch Publ Hlth, Dept Epidemiol, New York, NY 10032 USA
[2] Univ Amsterdam, Acad Med Ctr, NL-1105 AZ Amsterdam, Netherlands
[3] Columbia Univ, Mailman Sch Publ Hlth, Int Ctr AIDS Care & Treatment Programs, New York, NY 10032 USA
关键词
Africa; HIV incidence; Surveillance; Prevention; Risk factors; Serologic testing algorithm for recent HIV seroconversion (STARHS); BED-CEIA; Avidity index; Seroincidence; RANDOMIZED CONTROLLED-TRIAL; HUMAN-IMMUNODEFICIENCY-VIRUS; SEXUALLY-TRANSMITTED-DISEASES; CAPTURE ENZYME-IMMUNOASSAY; PLACEBO-CONTROLLED TRIAL; VACCINE EFFICACY TRIALS; MALE FACTORY-WORKERS; FEMALE SEX WORKERS; RISK-FACTORS; PREVALENCE DATA;
D O I
暂无
中图分类号
R392 [医学免疫学]; Q939.91 [免疫学];
学科分类号
100102 ;
摘要
Background: HIV incidence estimation is increasingly being incorporated into HIV/AIDS surveillance activities in both resource-rich and developing countries. We conducted a systematic review to assess the availability of HIV incidence data from sub-Saharan Africa. Methods: We examined peer-reviewed articles, conference proceedings and technical reports published from 1987-2008. Incidence estimates were classified by country, year, population group, and estimation method (prospective study or the serologic testing algorithm for recent HIV seroconversion; STARHS). Results: Our search yielded HIV incidence estimates for 15 of 44 sub-Saharan African countries, with 5 7 studies generating 264 unique estimates. Of these, 239 (91%) were obtained via prospective studies, and 25 (9%) via the STARHS method (24 using the BED-CEIA assay). Only five countries reported population-based estimates, and less than two-thirds of studies reported risk factor information. STARHS use increased over time, comprising 20% of estimates since 2006. However, studies that compared STARHS estimates with prospectively observed or modeled estimates often found substantial levels of disagreement, with STARHS often overestimating HIV incidence. Conclusions: Population-based HIV incidence estimates and risk factor information in sub-Saharan Africa remain scant but increasingly available. Regional STARHS data suggest a need for further validation prior to widespread use and incorporation into routine surveillance activities. In the meantime, prevalence and behavioral risk factor data remain important for HIV prevention planning. (AIDS Rev. 2009;11:140-56)
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页码:140 / 156
页数:17
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