Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

Statistical modeling of HIV, tuberculosis, and Hepatitis B transmission in Ghana

Twumasi, Clement, Asiedu, Louis and Nortey, Ezekiel N. N. 2019. Statistical modeling of HIV, tuberculosis, and Hepatitis B transmission in Ghana. Canadian Journal of Infectious Diseases and Medical Microbiology 2019 , 2697618. 10.1155/2019/2697618

PDF - Published Version
Available under License Creative Commons Attribution.

Download (1MB) | Preview


Most mortality studies usually attribute death to single disease, while various other diseases could also act in the same individual or a population at large. Few works have been done by considering HIV, Tuberculosis (TB), and Hepatitis B (HB) as jointly acting in a population in spite of their high rate of infections in Ghana. This study applied competing risk methods on these three diseases by assuming they were the major risks in the study population. Among all opportunistic infections that could also act within HIV-infected individuals, TB has been asserted to be the most predominant. Other studies have also shown cases of HIV and Hepatitis B coinfections. The validity of these comorbidity assertions was statistically determined by exploring the conditional dependencies existing among HIV, TB, and HB through Bayesian networks or directed graphical model. Through Classification tree, sex and age group of individuals were found as significant demographic predictors that influence the prevalence of HIV and TB. Females were more likely to contract HIV, whereas males were prone to contracting TB.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Mathematics
Publisher: Pulsus
ISSN: 1712-9532
Date of First Compliant Deposit: 24 December 2019
Date of Acceptance: 4 December 2019
Last Modified: 02 Jan 2020 12:15

Citation Data

Cited 1 time in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item Edit Item


Downloads per month over past year

View more statistics