Modeling of Tuberculosis and Tuberculosis Co-infected with Human Immunodeficiency Virus Patents using some Parametric Survival Models
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Date
2020
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The Pacific Journal of Science and Technology
Abstract
In this study, the authors examined age and gender as some of the challenges of modeling infectious diseases using data comprising of patients with Tuberculosis (TB) and TB coinfected Human Immunodeficiency Virus (HIV) as a case study. The TB and TB co-infected with HIV are some of the common health problems in the world. Time-to-event outcomes are common data types in medical research. The data examined time until a patient is cured of the disease having some patients right-censored. With the nature of
the data, the appropriate analysis is the survival analysis method. The study aims at fitting appropriate models to the TB and TB/HIV coinfection data examining age and gender as factors influencing the survival of the disease. Hence, Kaplan-Meier estimation, Cox PH and some parametric models were adopted in the study. The result shows that among the parametric models, generalized gamma fit TB data best and there is a significant difference in the survival rate of male and female while Cox model fit TB coinfected with HIV best and there is a significant difference in the male and female patient. The median survival times are 17 and 18 months for TB patients and TB/HIV co-infected patients respectively.
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Citation
Olaosebikan, A., Aderoju, S.A. and Balogun, O.S. (2020). Modeling of Tuberculosis and Tuberculosis Co-infected with Human Immunodeficiency Virus Patents using some Parametric Survival Models. Pacific Journal of Science and Technology. Published by Akamai University. 21 (2): 332-340.