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ORIGINAL RESEARCH article

Front. Public Health

Sec. Infectious Diseases: Epidemiology and Prevention

Volume 13 - 2025 | doi: 10.3389/fpubh.2025.1486475

This article is part of the Research Topic World Hepatitis Day 2024: Advancing Hepatitis Elimination, Public Health Strategies and Innovations View all 10 articles

Analysis of Reported Incidence of Chronic Hepatitis B in Chaoyang District, Beijing During 2005-2022 with Age-Period-Cohort model

Provisionally accepted
Qian Li Qian Li 1Xuerou Zhao Xuerou Zhao 2Han Meng Han Meng 1Qianlan Zhang Qianlan Zhang 1Xuan Liu Xuan Liu 1Xiaohong Jiang Xiaohong Jiang 1Xiao Qi Xiao Qi 1*
  • 1 Beijing Chaoyang District Center for Disease Prevention and Control, Beijing, China
  • 2 School of Public Health, Xiamen University, Xiamen, Fujian Province, China

The final, formatted version of the article will be published soon.

    The study aimed to describe the trend of chronic hepatitis B among the population in Chaoyang District from 2005 to 2022 and explore the effects of age, period, and cohort factors on the incidence risk.Methods Incidence rates of chronic hepatitis B were collected from the national infectious disease reporting and information management system. Descriptive epidemiological methods were employed to characterize the incidence of chronic hepatitis B from 2005 to 2022. Trends in chronic hepatitis B were analyzed using an age-period-cohort model. The effects of age, period, and cohort on chronic hepatitis B incidence were estimated using the Intrinsic Estimator operator. Model goodness of fit was assessed by introducing variance, AIC, and BIC, comparing the established model with conventional two-factor models.From 2005 to 2022, the reported incidence of chronic hepatitis B in Chaoyang District showed a gradual decrease followed by stabilization, declining from 49.58/100,000 to 8.58/100,000 overall, from 63.36/100,000 to 11.69/100,000 in males, and from 35.15/100,000 to 5.55/100,000 in females. The age effect coefficient for males with chronic hepatitis B increased initially and then decreased with age, whereas for females, it decreased initially and then increased with age. The period effect on chronic hepatitis B incidence risk in both genders initially decreased and then increased over time. The cohort effect coefficient for males exhibited a pattern of decrease, increase, and then decrease, whereas for females, it generally increased and then decreased. The APC model constructed with the intrinsic estimator demonstrated the best goodness of fit, as indicated by lower variance, AIC, and BIC compared to conventional two-factor models.The reported incidence of chronic hepatitis B in Chaoyang District from 2005 to 2022 declined and stabilizing after 2013. We found distinct age, period, and cohort effects on the incidence, with higher risks observed in males aged 25-29 and 75-79, and females born in 1966-1970. These findings highlight the importance of targeted surveillance, expanded screening, and improved diagnosis and treatment rates to reduce the long-term chronic hepatitis B burden.

    Keywords: Chronic hepatitis B (CHB), age-period-cohort model, intrinsic estimator (IE), Birth cohort, incidence of CHB

    Received: 26 Aug 2024; Accepted: 27 Feb 2025.

    Copyright: © 2025 Li, Zhao, Meng, Zhang, Liu, Jiang and Qi. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Xiao Qi, Beijing Chaoyang District Center for Disease Prevention and Control, Beijing, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

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