Statistical Modeling of HIV, Tuberculosis, and Hepatitis B Transmission in Ghana
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...
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| Format: | Article |
| Language: | English |
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Wiley
2019-01-01
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| Series: | Canadian Journal of Infectious Diseases and Medical Microbiology |
| Online Access: | http://dx.doi.org/10.1155/2019/2697618 |
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| author | Clement Twumasi Louis Asiedu Ezekiel N. N. Nortey |
| author_facet | Clement Twumasi Louis Asiedu Ezekiel N. N. Nortey |
| author_sort | Clement Twumasi |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-1c90a36d441a4b22aa50c7c30b35017f |
| institution | Kabale University |
| issn | 1712-9532 1918-1493 |
| language | English |
| publishDate | 2019-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Canadian Journal of Infectious Diseases and Medical Microbiology |
| spelling | doaj-art-1c90a36d441a4b22aa50c7c30b35017f2025-02-03T01:26:41ZengWileyCanadian Journal of Infectious Diseases and Medical Microbiology1712-95321918-14932019-01-01201910.1155/2019/26976182697618Statistical Modeling of HIV, Tuberculosis, and Hepatitis B Transmission in GhanaClement Twumasi0Louis Asiedu1Ezekiel N. N. Nortey2School of Mathematics, Cardiff University, Cardiff, UKDepartment of Statistics & Actuarial Science, School of Physical and Mathematical Sciences, University of Ghana, Legon, Accra, GhanaDepartment of Statistics & Actuarial Science, School of Physical and Mathematical Sciences, University of Ghana, Legon, Accra, GhanaMost 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.http://dx.doi.org/10.1155/2019/2697618 |
| spellingShingle | Clement Twumasi Louis Asiedu Ezekiel N. N. Nortey Statistical Modeling of HIV, Tuberculosis, and Hepatitis B Transmission in Ghana Canadian Journal of Infectious Diseases and Medical Microbiology |
| title | Statistical Modeling of HIV, Tuberculosis, and Hepatitis B Transmission in Ghana |
| title_full | Statistical Modeling of HIV, Tuberculosis, and Hepatitis B Transmission in Ghana |
| title_fullStr | Statistical Modeling of HIV, Tuberculosis, and Hepatitis B Transmission in Ghana |
| title_full_unstemmed | Statistical Modeling of HIV, Tuberculosis, and Hepatitis B Transmission in Ghana |
| title_short | Statistical Modeling of HIV, Tuberculosis, and Hepatitis B Transmission in Ghana |
| title_sort | statistical modeling of hiv tuberculosis and hepatitis b transmission in ghana |
| url | http://dx.doi.org/10.1155/2019/2697618 |
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