๐Ÿ“–
Tuberculosis prevalence trends from a predictive modelling study-10 high-burden countries, 1980-2035
Qiuping Chen, Qiao Liu, Kangguo Li, Laurent Gavotte, Roger Frutos, Tianmu Chen

Tuberculosis prevalence trends from a predictive modelling study-10 high-burden countries, 1980-2035

Science & Mathematics Published 2024 Verification Pending

Overview & Synopsis

What is already known about this topic? Given the challenges presented by drug-resistant strains of tuberculosis (TB) and the rising mobility of the population, achieving the objective of eradicating TB appears uncertain. What is added by this report? The examination of TB incidence trends in 10 high-burden countries (HBCs) indicated a steady rise in cases, with India and China jointly accounting for nearly 70% of the burden. Projections for the future show diverse trajectories in these countries, with potential difficulties in reaching the TB elimination target, especially in Nigeria, Congo, and South Africa. What are the implications for public health practice? The number of TB cases is on the rise. It is crucial to learn from successful strategies to improve TB prevention and control worldwide through collaborative efforts.

Indexed from repository: HAL Open Science (hal.science)
Loading document from verified source...
Keyboard Shortcuts: ← / → for pages • + / - for zoom • 0 to fit width Powered by Mozilla PDF.js v3.11

Document Information

Document Title Tuberculosis prevalence trends from a predictive modelling study-10 high-burden countries, 1980-2035
Author / Organization Qiuping Chen, Qiao Liu, Kangguo Li, Laurent Gavotte, Roger Frutos, Tianmu Chen
Subject & Discipline Multidisciplinary Academic Open Research
Categories Science & Mathematics
Publication Year 2024
License / Rights Open Access / Creative Commons
Resource Verification Listed PDF (Verification Pending)
Original Host Website HAL Open Science (hal.science)
File Format application/pdf (Portable Document Format)
Language EN
Catalog ID DOC-174733
Original Source Link Visit Source Page on hal.science »