Adaptive modeling of HIV-TB coinfection dynamics and intervention optimization.

ABSTRACT:

Background

The syndemic of HIV and tuberculosis (TB) co-infection remains a critical global health challenge, particularly in resource-limited settings where conventional epidemiological models fail to capture the complex evolutionary dynamics between pathogens, hosts, and interventions. Current approaches lack adaptive mechanisms to account for temporal changes in transmission parameters and quality of life (QoL) impacts, creating an urgent need for innovative modeling frameworks.

Methods

This study focuses on the Khyber Pakhtunkhwa province of Pakistan, a region with moderate HIV prevalence and high TB incidence. The analysis used de-identified clinical and demographic data (N = 592) collected from tertiary hospitals in KP between 2021 and 2023. We developed a novel hybrid

SUBMITTER: Pari B 

PROVIDER: S-EPMC12798008 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature