Adaptive modeling of HIV-TB coinfection dynamics and intervention optimization

This study provides the first comprehensive framework that simultaneously addresses pathogen evolution, host dynamics, and intervention optimization in HIV-TB co-infection. The findings offer actionable insights for public health policy, particularly in balancing cost-effectiveness with implementation feasibility. Our evolutionary-optimized approach establishes a new paradigm for modeling complex disease systems, with potential applications extending beyond HIV-TB to other interacting epidemics.

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Publication Details

Journal
BMC Public Health
Published
2025-12-06
DOI
https://doi.org/10.1186/s12889-025-25068-y
Primary Topic
HIV Research and Treatment
Type
article
Field-Weighted Citation Impact
0.00
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article

Adaptive modeling of HIV-TB coinfection dynamics and intervention optimization

Rubina Khan, Salman Khan, Bakht Pari
BMC Public Health
HIV Research and Treatment
article

Adaptive modeling of HIV-TB coinfection dynamics and intervention optimization

Rubina Khan, Salman Khan, Bakht Pari
article en

Abstract

This study provides the first comprehensive framework that simultaneously addresses pathogen evolution, host dynamics, and intervention optimization in HIV-TB co-infection. The findings offer actionable insights for public health policy, particularly in balancing cost-effectiveness with implementation feasibility. Our evolutionary-optimized approach establishes a new paradigm for modeling complex disease systems, with potential applications extending beyond HIV-TB to other interacting epidemics.

BMC Public HealthVol. 26(1)
Silesian University of Technology (PL), Sarhad University of Science and Information Technology (PK), Lady Reading Hospital (PK)
Openalex Percentile: Top 59%
HIV Research and Treatment
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