Continuous Time Semi-Markov Model to Optimise the Efficacy of World Health Organization HIV- naïves Staging Criterion in Nigeria
Year: 2025
Type: article
Abstract: Continuous Time semi-Markov model to study the transition among the various categorised HIV/AIDs stages has been presented in this paper. The model was used to appraise the staging of HIV- infected clients reported at General Hospital Minna, Niger State, Nigeria, for 10 years. The result indicated no transition from the asymptomatic stage of HIV to late/advanced AIDs . However, transition occurs among the other stages due to the presence of Opportunistic Infections (OIs), which translate to gradual increment in the graphs of interval transition probabilities for all Specifically, this study shows some increase in the transition probability from stages 2, 3 and 4 to stage 1 from about 0.081718, 0.011421 and 0.003908 in the first month to about 0.331054, 0.189427 and 0.061666 in the fifty months . The graph derived from virtual transition probabilities shows the gradual monotone decrease after fifty (50) months. The result indicates that,, and attained the values of about 0.778442, 0.490655, 0.504554, and 0.614515 for the first few months. In fifty months, the percentage decrease is about 33.1%, 18.9%, and 6.1% for stages 2, 3 and 4, respectively. However, there is a slow drop followed by stability in the client’s trajectory at various better threshold stages when infinity is attained. These underscore that all HIV-naïve clients eventually transition to the AIDs stage, especially when therapeutic intervention is lacking. The model established in this study could assist Health Care Providers (HCP), Epidemiologists, Medical Statisticians, and other funding organisations in planning for the treatment, surveillance, management, and intervention for the ever-increasing scourge of HIV/AIDs.
Source: UMYU Scientifica
Institutions: Nigerian Army University Biu, Niger State Polytechnic
Language: English
Subfield: Infectious Diseases
Field: Medicine
Domain: Health Sciences
Open Access status: diamond
OpenAlex ID: W4408623707