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Review
. 2025 Jan 29:13:1486946.
doi: 10.3389/fpubh.2025.1486946. eCollection 2025.

Application of the age-period-cohort model in tuberculosis

Dan Luo #  1 , Fengying Wang #  2 , Songhua Chen  3 , Yu Zhang  3 , Wei Wang  3 , Qian Wu  3 , Yuxiao Ling  4 , Yiqing Zhou  1 , Yang Li  5 , Kui Liu  3 , Bin Chen  3
Affiliations
Review

Application of the age-period-cohort model in tuberculosis

Dan Luo et al. Front Public Health. .

Abstract

Up to now, tuberculosis (TB) remains a global public health problem, posing a serious threat to human health. Traditional methods for analyzing time-varying trends, such as age and period, tend to ignore the poor impact of birth cohorts, which is an important factor in the development of TB. The age-period-cohort (APC) model, a statistical method widely used in recent decades in economics, sociology, and epidemiology, can quantitatively estimate the efficacy of different age, period, and birth cohort groups for TB by separating the effects of these three dimensions and controlling for confounding factors among the time variables. The purpose of this paper is to briefly review the model, focus on the application of the existing APC model in the field of TB, and explain its advantages and disadvantages. This study will help to provides a theoretical basis and reference for using the APC model in TB analysis and prediction.

Keywords: age-period-cohort models; identification problem; model application; time trends; tuberculosis.

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Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

References

    1. WHO . Global Tuberculosis Report 2023. Geneva: WHO; (2023).
    1. Wu J, Yue Z, Kai W, Peng P. Global, regional, and national mortality of tuberculosis attributable to alcohol and tobacco from 1990 to 2019: A modelling study based on the global burden of disease study 2019. J Glob Health. (2024) 14:14. doi: 10.7189/jogh.14.04023, PMID: - DOI - PMC - PubMed
    1. Lan QW, Chen HK, Huang ZM, Bao TY, Liang CJ, Yi RT, et al. . Global, regional, and national time trends in incidence for tuberculosis, 1990-2019: an age-period-cohort analysis for the global burden of disease 2019 study. Heart Lung. (2024) 65:19–30. doi: 10.1016/j.hrtlng.2024.01.009, PMID: - DOI - PubMed
    1. Wang C, Yang X, Zhang H, Zhang Y, Tao J, Jiang X, et al. . Temporal trends in mortality of tuberculosis attributable to high fasting plasma glucose in China from 1990 to 2019: a joinpoint regression and age-period-cohort analysis. Front Public Health. (2023) 11:1225931. doi: 10.3389/fpubh.2023.1225931 - DOI - PMC - PubMed
    1. Hochberg NS, Horsburgh CR, Jr. Prevention of tuberculosis in older adults in the United States: obstacles and opportunities. Clin Infect Dis. (2013) 56:1240–7. doi: 10.1093/cid/cit027, PMID: - DOI - PMC - PubMed

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