BACKGROUND: Broad patterns of HIV epidemiology are frequently used to design generic HIV programs in sub-Saharan Africa. METHODS: We reviewed the epidemiology of HIV among young people in sub-Saharan Africa, and explored the unique dynamics of infection in its different regions. RESULTS: In 2009, HIV prevalence among youth in sub-Saharan Africa was an estimated 1.4% in males and 3.4% in females, but these values mask wide variation at regional and national levels. Within countries there are further major differences in HIV prevalence, such as by sex, urban/rural location, economic status, education, or ethnic group. Within this highly nuanced context, HIV prevention programs targeting youth must consider both where new infections are occurring and where they are coming from. CONCLUSIONS: Given the epidemiology, one-size-fits-all HIV prevention programs are usually inappropriate at regional and national levels. Consideration of local context and risk associated with life transitions, such as leaving school or getting married, is imperative to successful programming for young people.
BACKGROUND: Broad patterns of HIV epidemiology are frequently used to design generic HIV programs in sub-Saharan Africa. METHODS: We reviewed the epidemiology of HIV among young people in sub-Saharan Africa, and explored the unique dynamics of infection in its different regions. RESULTS: In 2009, HIV prevalence among youth in sub-Saharan Africa was an estimated 1.4% in males and 3.4% in females, but these values mask wide variation at regional and national levels. Within countries there are further major differences in HIV prevalence, such as by sex, urban/rural location, economic status, education, or ethnic group. Within this highly nuanced context, HIV prevention programs targeting youth must consider both where new infections are occurring and where they are coming from. CONCLUSIONS: Given the epidemiology, one-size-fits-all HIV prevention programs are usually inappropriate at regional and national levels. Consideration of local context and risk associated with life transitions, such as leaving school or getting married, is imperative to successful programming for young people.
Authors: Jenny A Higgins; Sanyukta Mathur; Elizabeth Eckel; Laura Kelley; Laura Kelly; Neema Nakyanjo; Richard Sekamwa; Josephine Namatovu; William Ddaaki; Rosette Nakubulwa; Sylvia Namakula; Fred Nalugoda; John S Santelli Journal: Am J Public Health Date: 2014-02-13 Impact factor: 9.308
Authors: Sanyukta Mathur; Ying Wei; Xiaobo Zhong; Xiaoyu Song; Fred Nalugoda; Tom Lutalo; Maria Wawer; Ron Gray; David Serwadda; John S Santelli Journal: J Acquir Immune Defic Syndr Date: 2015-05-01 Impact factor: 3.731
Authors: Jan A C Hontelez; Sake J de Vlas; Rob Baltussen; Marie-Louise Newell; Roel Bakker; Frank Tanser; Mark Lurie; Till Bärnighausen Journal: AIDS Date: 2012-07-31 Impact factor: 4.177
Authors: Philip Kreniske; Fred Nalugoda; Ivy Chen; Rui Huang; Ying Wei; Larry Chang; Robert Ssekubugu; Tom Lutalo; Godfrey Kigozi; Joseph Kagaayi; Nelson Sewankambo; M Kate Grabowski; Ronald Gray; David Serwadda; John Santelli Journal: J Acquir Immune Defic Syndr Date: 2022-04-01 Impact factor: 3.771
Authors: John S Santelli; Zoe R Edelstein; Sanyukta Mathur; Ying Wei; Wenfei Zhang; Mark G Orr; Jenny A Higgins; Fred Nalugoda; Ron H Gray; Maria J Wawer; David M Serwadda Journal: J Acquir Immune Defic Syndr Date: 2013-07-01 Impact factor: 3.731
Authors: Fred Nalugoda; Philip Kreniske; Sarah Hofer; Xiaobo Zhong; Ying Wei; Stephanie A Grilo; Ivy Chen; Ssebaggala D Kigozi; Godfrey Kigozi; Tom Lutalo; Robert Ssekubugu; Hadijja Nakawooya; Joseph Kagaayi; Larry W Chang; Maria J Wawer; Ronald H Gray; Qianshu Wang; John S Santelli Journal: AIDS Behav Date: 2020-05