dc.contributor.author | Kikechi, Conlet B | |
dc.date.accessioned | 2013-05-15T08:26:37Z | |
dc.date.available | 2013-05-15T08:26:37Z | |
dc.date.issued | 2002 | |
dc.identifier.citation | M.Sc. (Statistics) Thesis 2002 | en |
dc.identifier.uri | http://erepository.uonbi.ac.ke:8080/xmlui/handle/123456789/22994 | |
dc.description | Master of Science Thesis | en |
dc.description.abstract | Estimation and projection of the current and future health status of populations has
become an essential tool for governments and other organizations involved in the
planning and delivery of health programmes. Various models have been proposed to
study the projection of Human Immunodeficiency Virus(HIV) /Acquired Immunodeficiency
Syndrome (AIDS) epidemic. In this study statistical approaches; mainly
curve fitting (logistic linear and quadratic exponential) have been used to make
short-term predictions about the current and future AIDS epidemic in Kenya. Also
the mathematical background for back-calculation procedures has been explained.
This method estimates HIV incidences. The observed reported data on the annual
incidences of AIDS diagnoses for Kenya are used to determine trend patterns of the
expected AIDS epidemic. Trend estimates of the pandemic are necessary for giving
measures of disease control and intervention programmes. | en |
dc.description.sponsorship | University of Nairobi | en |
dc.language.iso | en | en |
dc.title | Estimation and projection of HIV/AIDs situation in Kenya | en |
dc.type | Thesis | en |
local.publisher | Depatment of Mathematics, University of Nairobi | en |