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.

中文翻译：

---

加纳的艾滋病毒，结核和乙型肝炎传播的统计模型。

大多数死亡率研究通常将死亡归因于单一疾病，而其他多种疾病也可能在同一个人或整个人群中起作用。尽管加纳感染率很高，但考虑到艾滋病毒，结核病和乙型肝炎在人群中共同起作用的工作很少。通过假设这三种疾病是研究人群中的主要风险，本研究将竞争风险方法应用于这三种疾病。在所有可能也会感染HIV的个体中发生的机会性感染中，结核病被认为是最主要的。其他研究也显示了艾滋病毒和乙型肝炎合并感染的病例。这些并发疾病主张的有效性是通过探索艾滋病毒，结核病，和HB通过贝叶斯网络或定向图形模型。通过分类树，发现性别和年龄组是影响HIV和TB患病率的重要人口统计学预测指标。女性更容易感染艾滋病毒，而男性更容易感染结核病。