Evolving dynamics of tuberculosis and emerging HIV Co-infection in China: Age-period-cohort analysis and projections to 2035

BACKGROUND: Despite significant progress in tuberculosis (TB) prevention, China remains the third-highest TB burdened country globally, with ongoing concerns about drug-resistant tuberculosis (DR-TB) and HIV/TB co-infection. METHOD: The study utilized data from the Global Burden of Disease (GBD) 2021, applying the Age-Period-Cohort (APC) model to analyze age, period, and cohort effects on the incidence and mortality of TB, DR-TB, and HIV/TB co-infection. The Bayesian Age-Period-Cohort (BAPC) model projected future trends from 2022 to 2035. RESULT: Age effects indicated an increased incidence and mortality risk for TB and DR-TB with age, while younger and middle-aged groups were more affected by HIV/TB co-infection. Period effects demonstrated decreasing risks for TB and DR-TB, but an increasing trend for HIV/TB co-infection. Cohort effects similarly indicated a decline for TB and DR-TB, with a slight rise for HIV/TB co-infection among individuals born between 1990 and 2006. BAPC projections indicate that by 2035, the age-standardized incidence rate (ASIR) for TB, DR-TB, and HIV/TB co-infection will be 21.86, 1.04, and 1.21 per 100,000 person-years, respectively, while the age-standardized mortality rate (ASMR) will be 0.90, 0.09, and 0.12 per 100,000 person-years, respectively. None of these projections fulfill the End TB targets. CONCLUSION: Current strategies are unlikely to meet the End TB targets by 2035 in China, suggesting a need for preventive treatment for latent tuberculosis infection (LTBI) and improved screening for HIV and TB in high-risk populations.

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Publication Details

Journal
Journal of Infection and Public Health
Published
2026-04-30
DOI
https://doi.org/10.1016/j.jiph.2026.103236
Primary Topic
Tuberculosis Research and Epidemiology
Type
article
Field-Weighted Citation Impact
0.00

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article

Evolving dynamics of tuberculosis and emerging HIV Co-infection in China: Age-period-cohort analysis and projections to 2035

Vivian Yawei Guo, Wenxi Wang, Jialiang Yao, Tinglong Chen et al.
Journal of Infection and Public Health
Tuberculosis Research and Epidemiology
article

Evolving dynamics of tuberculosis and emerging HIV Co-infection in China: Age-period-cohort analysis and projections to 2035

Vivian Yawei Guo, Wenxi Wang, Jialiang Yao, Tinglong Chen, Chun Hao, Stuart Gilmour, Yuqi Cai, Jinghua Li, Yuantao Hao, Ruiwen Liu, Jing Gu, Yang Zhu
article en

Abstract

BACKGROUND: Despite significant progress in tuberculosis (TB) prevention, China remains the third-highest TB burdened country globally, with ongoing concerns about drug-resistant tuberculosis (DR-TB) and HIV/TB co-infection. METHOD: The study utilized data from the Global Burden of Disease (GBD) 2021, applying the Age-Period-Cohort (APC) model to analyze age, period, and cohort effects on the incidence and mortality of TB, DR-TB, and HIV/TB co-infection. The Bayesian Age-Period-Cohort (BAPC) model projected future trends from 2022 to 2035. RESULT: Age effects indicated an increased incidence and mortality risk for TB and DR-TB with age, while younger and middle-aged groups were more affected by HIV/TB co-infection. Period effects demonstrated decreasing risks for TB and DR-TB, but an increasing trend for HIV/TB co-infection. Cohort effects similarly indicated a decline for TB and DR-TB, with a slight rise for HIV/TB co-infection among individuals born between 1990 and 2006. BAPC projections indicate that by 2035, the age-standardized incidence rate (ASIR) for TB, DR-TB, and HIV/TB co-infection will be 21.86, 1.04, and 1.21 per 100,000 person-years, respectively, while the age-standardized mortality rate (ASMR) will be 0.90, 0.09, and 0.12 per 100,000 person-years, respectively. None of these projections fulfill the End TB targets. CONCLUSION: Current strategies are unlikely to meet the End TB targets by 2035 in China, suggesting a need for preventive treatment for latent tuberculosis infection (LTBI) and improved screening for HIV and TB in high-risk populations.

Journal of Infection and Public HealthVol. 19(6)
University of North Carolina at Chapel Hill (US), Sun Yat-sen University (CN), Peking University (CN), University of Macau (MO), St. Luke's International University (JP), First Affiliated Hospital of Guangzhou Medical University (CN), Guangzhou Medical University (CN)
Natural Science Foundation of Guangdong Province
Good health and well-being
Openalex Percentile: Top 10%
Tuberculosis Research and Epidemiology
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