Trends and Projection of the Incidence of Active Pulmonary Tuberculosis in Southwestern China: Age-Period-Cohort Analysis

• Published in: JMIR public health and surveillance Vol. 9; p. e48015
• Main Authors: Chen, Jinou, Qiu, Yubing, Wu, Wei, Yang, Rui, Li, Ling, Yang, Yunbin, Yang, Xing, Xu, Lin
• Format: Journal Article
• Language: English
• Published: Canada JMIR Publications 29.12.2023
• Subjects: Age groups; Aging; Approximation; Epidemiology; Health facilities; Health policy; Normal distribution; Older people; Parameter estimation; Population; Population growth; Public health; Sustainable development; Trends; Tuberculosis; China; pulmonary tuberculosis; age-period-cohort modeling; bayesian age-period-cohort model; projection; decomposition of disease burden
• ISSN: 2369-2960; 2369-2960
• DOI: 10.2196/48015

The control of pulmonary tuberculosis (PTB) is critical for achieving the vision of World Health Organization's End TB goal. This study analyzes the temporal trends in PTB incidence associated with age, period, and birth cohorts from 2006 to 2020 in Yunnan, China; projects the PTB burden till 2030; and explores the drivers of PTB incidence. The aggregated PTB incidence rates between 2005 and 2020 were obtained from the National Notifiable Disease Reporting System. We used the age-period-cohort model to evaluate the age, period, and cohort effects on PTB incidence. We applied the Bayesian age-period-cohort model to project future PTB incidence from 2021 to 2030. We applied the decomposition algorithm to attribute the incidence trends to population aging, population growth, and age-specific changes from 2006 to 2030. From 2006 to 2020, the PTB incidence in Yunnan was relatively stable, although the absolute number showed an increase. The net drift was -1.56% (95% CI -2.41% to -0.70%). An M-shaped bimodal local drift and a longitudinal age curve were observed. The overall local drift was below zero for most age groups except for the age groups of 15-19 years (2.37%, 95% CI -0.28% to 5.09%) and 50-54 years (0.41%, 95% CI -1.78% to 2.64%). The highest risk of PTB incidence was observed in the age group of 65-69 years, and another peak was observed in the age group of 20-24 years. Downward trends were observed for both period and cohort effects, but the cohort effect trends were uneven. A higher risk was observed for the birth cohorts of 1961-1970 (rate ratio [RR] =1.10, 95% CI 0.88-1.38; RR =1.11, 95% CI 0.92-1.37) and 2001-2010 (RR =0.92, 95% CI 0.63-1.34; RR =0.84, 95% CI 0.45-1.58) than for the adjacent cohorts. The Bayesian age-period-cohort model projected that PTB incidence will continually increase from 2021 to 2030 and that PTB incidence in 2030 will be 2.28 times higher than that in 2006. The age-specific change was the leading cause for the growing PTB disease burden. Although there are several levels and measures for PTB control, the disease burden is likely to increase in the future. To bridge the gap of TB-free vision, our study suggests that public health policies be put in place soon, including large-scale active case-finding, priority prevention policies for high-risk older adult and young adult populations, and reduction of possible grandparent-grandchildren transmission patterns.