Application of the age-period-cohort model in tuberculosis
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...
Saved in:
| Main Authors: | , , , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2025-01-01
|
| Series: | Frontiers in Public Health |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fpubh.2025.1486946/full |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832582857551249408 |
|---|---|
| author | Dan Luo Fengying Wang Songhua Chen Yu Zhang Wei Wang Qian Wu Yuxiao Ling Yiqing Zhou Yang Li Kui Liu Bin Chen |
| author_facet | Dan Luo Fengying Wang Songhua Chen Yu Zhang Wei Wang Qian Wu Yuxiao Ling Yiqing Zhou Yang Li Kui Liu Bin Chen |
| author_sort | Dan Luo |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-2a2069c4ad6748f9aa9c9c5afb060a25 |
| institution | Kabale University |
| issn | 2296-2565 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Public Health |
| spelling | doaj-art-2a2069c4ad6748f9aa9c9c5afb060a252025-01-29T06:46:15ZengFrontiers Media S.A.Frontiers in Public Health2296-25652025-01-011310.3389/fpubh.2025.14869461486946Application of the age-period-cohort model in tuberculosisDan Luo0Fengying Wang1Songhua Chen2Yu Zhang3Wei Wang4Qian Wu5Yuxiao Ling6Yiqing Zhou7Yang Li8Kui Liu9Bin Chen10School of Public Health, Hangzhou Medical College, Hangzhou, ChinaDepartment of Tuberculosis and AIDS Control and Prevention, Jinhua Municipal Center for Disease Control and Prevention, Jinhua, ChinaDepartment of Tuberculosis Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, ChinaDepartment of Tuberculosis Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, ChinaDepartment of Tuberculosis Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, ChinaDepartment of Tuberculosis Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, ChinaSchool of Public Health, Health Science Center, Ningbo University, Ningbo, ChinaSchool of Public Health, Hangzhou Medical College, Hangzhou, ChinaSchool of Public Health, Hangzhou Normal University, Hangzhou, ChinaDepartment of Tuberculosis Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, ChinaDepartment of Tuberculosis Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, ChinaUp 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.https://www.frontiersin.org/articles/10.3389/fpubh.2025.1486946/fulltuberculosisage-period-cohort modelstime trendsmodel applicationidentification problem |
| spellingShingle | Dan Luo Fengying Wang Songhua Chen Yu Zhang Wei Wang Qian Wu Yuxiao Ling Yiqing Zhou Yang Li Kui Liu Bin Chen Application of the age-period-cohort model in tuberculosis Frontiers in Public Health tuberculosis age-period-cohort models time trends model application identification problem |
| title | Application of the age-period-cohort model in tuberculosis |
| title_full | Application of the age-period-cohort model in tuberculosis |
| title_fullStr | Application of the age-period-cohort model in tuberculosis |
| title_full_unstemmed | Application of the age-period-cohort model in tuberculosis |
| title_short | Application of the age-period-cohort model in tuberculosis |
| title_sort | application of the age period cohort model in tuberculosis |
| topic | tuberculosis age-period-cohort models time trends model application identification problem |
| url | https://www.frontiersin.org/articles/10.3389/fpubh.2025.1486946/full |
| work_keys_str_mv | AT danluo applicationoftheageperiodcohortmodelintuberculosis AT fengyingwang applicationoftheageperiodcohortmodelintuberculosis AT songhuachen applicationoftheageperiodcohortmodelintuberculosis AT yuzhang applicationoftheageperiodcohortmodelintuberculosis AT weiwang applicationoftheageperiodcohortmodelintuberculosis AT qianwu applicationoftheageperiodcohortmodelintuberculosis AT yuxiaoling applicationoftheageperiodcohortmodelintuberculosis AT yiqingzhou applicationoftheageperiodcohortmodelintuberculosis AT yangli applicationoftheageperiodcohortmodelintuberculosis AT kuiliu applicationoftheageperiodcohortmodelintuberculosis AT binchen applicationoftheageperiodcohortmodelintuberculosis |