Disparities in HIV/AIDS Progression among Children - Ssebiryo, Francis E.
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In the Sub Saharan Africa and on global scope, Uganda has an outstanding account of HIV/AIDS infection. HIV/AIDS is a chronic infection which requires huge resources in its management, besides knowledge on the rate of HIV infection transition from one stage to another is scanty. This paper sheds light on the estimates of HIV infection progression within resource limited settings and its co-factors among children. The paper is framed in lifecourse theoretical perspective to appraise the chronological effect of demographic and socioeconomic factors on the lifecourse of HIV-AIDS. Using Kaplan…mehr

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Produktbeschreibung
In the Sub Saharan Africa and on global scope, Uganda has an outstanding account of HIV/AIDS infection. HIV/AIDS is a chronic infection which requires huge resources in its management, besides knowledge on the rate of HIV infection transition from one stage to another is scanty. This paper sheds light on the estimates of HIV infection progression within resource limited settings and its co-factors among children. The paper is framed in lifecourse theoretical perspective to appraise the chronological effect of demographic and socioeconomic factors on the lifecourse of HIV-AIDS. Using Kaplan Meier and Cox proportional hazard model as methods of analysis, the paper indicates that, the duration of exposure to HIV infection contributed in each stage decreases with progressive amplification in the infection, increasingly short expectation of life once a child progresses from asymptomatic stage. Thus, to optimize survival time on HIV infection lifecourse, HIV/AIDS care and treatment should strive to maintain HIV infection within asymptomatic levels yet initiating treatment on the earliest time possible.
Autorenporträt
Francis is an experienced Social Scientist, a Demographer and a Population Scientist. He holds a Master s Degree in Population Studies from the University of Groningen, the Netherlands, atop other professional Certifications. He currently works with AFENET as National Data Manager/Biostatistician for EMBLEM study; http://emblem.cancer.gov/.