On Empirical Modelling of HIV/AIDS Pandemic with Application to East Africa
dc.contributor.author | Simwa, Richard Onyino | |
dc.contributor.author | Pokhariyal, G. P. | |
dc.date.accessioned | 2025-05-26T06:46:45Z | |
dc.date.available | 2025-05-26T06:46:45Z | |
dc.date.issued | 2003 | |
dc.description | Journal Article | |
dc.description.abstract | A number of models have been proposed to study the projections of Human Immunodeficiency Virus (HIV)/acquired immunodeficiency syndrome (AIDS) epidemic in sub-Saharan Africa. In this paper we propose the use of 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 behavior based dynamical compartmental (or demographic) models on the same epidemic | |
dc.identifier.citation | Simwa, R. O. & Pokhariyal, G. P. (2003). On empirical modelling of Hiv/Aids pandemic with application to East Africa. African Journal of Science and Technology. | |
dc.identifier.issn | 1607-9949 | |
dc.identifier.uri | https://repository.daystar.ac.ke/handle/123456789/6771 | |
dc.language.iso | en | |
dc.publisher | African Journal of Science and Technology | |
dc.relation.ispartofseries | 4(1) | |
dc.subject | HIV/AIDS | |
dc.subject | back projection | |
dc.subject | incubation period distribution | |
dc.subject | likelihood function | |
dc.subject | maximum likelihood estimation. | |
dc.title | On Empirical Modelling of HIV/AIDS Pandemic with Application to East Africa | |
dc.type | Article |
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