Abstract
A number of models have been proposed to study the projections of HumanImmunodeficiency Virus(HIV)/Acquired Immunodeficiency Syndrom(AIDS) epidemic in sub-Saharan Africa. In this paper we propose the use of the statistical approaches, curve fitting and back projection, which have been widely applied in projecting the HIV/AIDS epidemic in the developed countries. The reported data on the annual incidences of AIDS diagnoses for both Kenya and Uganda are used to determine trend patterns of the expected HIV/AIDS epidemic in the two countries. The results are quite similar to those obtained using the behaviour based dynamical compartmental (or the demographic ) models on the same epidemic. Keywords: HIV/AIDS, back projection, incubation period distribution, likelihood function, maximum likelihood estimation. (Af. J. of Science and Technology: 2003 4(1): 104-109)
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
