Abstract: Many studies have been carried out in this field and different models have been proposed with a view to better understanding of this disease. State transition models were monitored by serial measurements of CD4 cells per unit volume ( of blood in an HIV patient as a tool for modeling HIV disease progression. WHO disease staging system for HIV infection was used to analyze data. The methods used in this dissertation are applied to HIV data sourced from one health facility. HIV progression is analyzed through the application of a four state Markov model with reversible transitions such that state 1: CD4 count ≥ 500, state 2: 350≤CD4 count <499, state 3: 200≤CD4 count <349, state 4: CD4 count < 200.
Keywords: Mean Transition, Transient state, Progression.
Title: Generation of Mean Transition (Sojourn) Time in Transient States of HIV Disease Progression in Kenya
Author: Stephen Kinyanjui Mwambura, Prof. Samuel Karoki
International Journal of Social Science and Humanities Research
ISSN 2348-3156 (Print), ISSN 2348-3164 (online)
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