Clustering and modeling joint-trajectories of HIV/AIDS and tuberculosis mortality rates using bayesian multi-process latent growth model: A global study from 1990 to 2021

Clustering and modeling joint-trajectories of HIV/AIDS and tuberculosis mortality rates using bayesian multi-process latent growth model: A global study from 1990 to 2021

Abstract Background The bidirectional association of HIV/AIDS and Tuberculosis (TB) presents significant global health challenges. However, the relationship between these dual epidemics and the heterogeneity in their mortality rate patterns have not been properly addressed. Therefore, the aim of thi...

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Bibliographic Details
Main Authors: Tofigh Mobaderi, Anoshirvan Kazemnejad, Masoud Salehi
Format: Article
Language:English
Published: BMC 2025-03-01
Series:BMC Infectious Diseases
Subjects:
Multi-process latent growth model
Clustering
Heterogeneity
Human immunodeficiency virus (HIV)
Tuberculosis (TB)
Online Access:https://doi.org/10.1186/s12879-025-10715-x
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