Modeling the epidemiologic impact of age-targeted vaccination for drug-resistant tuberculosis

Drug Resist Updat. 2025 Jan:78:101172. doi: 10.1016/j.drup.2024.101172. Epub 2024 Nov 13.

Abstract

This study used a calibrated mathematical model to evaluate age-specific tuberculosis (TB) vaccination strategies, for drug-resistant (DR)-TB management in China. Prioritizing elderly vaccination significantly reduced multidrug-resistant or rifampicin-resistant TB incidence and mortality, while avoiding the need for second-line treatment, offering a promising approach to mitigate DR-TB burden by 2050.

Keywords: Drug resistance; Mathematical model; Tuberculosis; Vaccine.

MeSH terms

  • Adolescent
  • Adult
  • Age Factors
  • Aged
  • Aged, 80 and over
  • Antitubercular Agents / pharmacology
  • Antitubercular Agents / therapeutic use
  • Child
  • Child, Preschool
  • China / epidemiology
  • Female
  • Humans
  • Incidence
  • Infant
  • Male
  • Middle Aged
  • Models, Theoretical
  • Mycobacterium tuberculosis / drug effects
  • Mycobacterium tuberculosis / immunology
  • Rifampin / pharmacology
  • Rifampin / therapeutic use
  • Tuberculosis Vaccines / immunology
  • Tuberculosis, Multidrug-Resistant* / drug therapy
  • Tuberculosis, Multidrug-Resistant* / epidemiology
  • Tuberculosis, Multidrug-Resistant* / prevention & control
  • Vaccination* / methods
  • Young Adult

Substances

  • Tuberculosis Vaccines
  • Antitubercular Agents
  • Rifampin