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Trends in disease burden of hepatitis B infection in Jiangsu Province, China, 1990–2021

BACKGROUND: The incidence of hepatitis B virus (HBV) has decreased year by year in China after the expansion of vaccination, but there is still a high disease burden in Jiangsu Province of China. METHODS: The year-by-year incidence data of HBV in Jiangsu Province from 1990 to 2021 were collected. Th...

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Autores principales: Fang, Kang, Shi, Yingying, zhao, Zeyu, Zhao, Yunkang, Guo, Yichao, Abudunaibi, Buasivamu, Qu, Huimin, Liu, Qiao, Kang, Guodong, Wang, Zhiguo, Hu, Jianli, Chen, Tianmu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: KeAi Publishing 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10371820/
https://www.ncbi.nlm.nih.gov/pubmed/37520113
http://dx.doi.org/10.1016/j.idm.2023.07.007
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author Fang, Kang
Shi, Yingying
zhao, Zeyu
Zhao, Yunkang
Guo, Yichao
Abudunaibi, Buasivamu
Qu, Huimin
Liu, Qiao
Kang, Guodong
Wang, Zhiguo
Hu, Jianli
Chen, Tianmu
author_facet Fang, Kang
Shi, Yingying
zhao, Zeyu
Zhao, Yunkang
Guo, Yichao
Abudunaibi, Buasivamu
Qu, Huimin
Liu, Qiao
Kang, Guodong
Wang, Zhiguo
Hu, Jianli
Chen, Tianmu
author_sort Fang, Kang
collection PubMed
description BACKGROUND: The incidence of hepatitis B virus (HBV) has decreased year by year in China after the expansion of vaccination, but there is still a high disease burden in Jiangsu Province of China. METHODS: The year-by-year incidence data of HBV in Jiangsu Province from 1990 to 2021 were collected. The incidence rates of males and females age groups were clustered by systematic clustering, and the incidence rates of each age group were analyzed and studied by using Joinpoint regression model and age-period-cohort effect model (APC). RESULTS: Joinpoint regression model and APC model showed a general decrease in HBV prevalence in both males and females. In addition, the results of the APC model showed that the age, period, and cohort effects of patients all affected the incidence of HBV, and the incidence was higher in males than in females. The incidence is highest in the population between the ages of 15 and 30 years (mean: 21.76/100,000), especially in males (mean: 31.53/100,000) than in females (mean:11.67/100,000). Another high-risk group is those over 60 years of age (mean: 21.40/100,000), especially males (mean: 31.17/100,000) than females (mean: 11.63/100,000). The period effect of the APC model suggests that HBV vaccination is effective in reducing the incidence of HBV in the population. CONCLUSIONS: The incidence of HBV in Jiangsu Province showed a gradual downward trend, but the disease burden in males was higher than that in females. The incidence is higher and increasing rapidly in the population between the ages of 15 and 30 years and people over 60 years of age. More targeted prevention and control measures should be implemented for males and the elderly.
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spelling pubmed-103718202023-07-28 Trends in disease burden of hepatitis B infection in Jiangsu Province, China, 1990–2021 Fang, Kang Shi, Yingying zhao, Zeyu Zhao, Yunkang Guo, Yichao Abudunaibi, Buasivamu Qu, Huimin Liu, Qiao Kang, Guodong Wang, Zhiguo Hu, Jianli Chen, Tianmu Infect Dis Model Article BACKGROUND: The incidence of hepatitis B virus (HBV) has decreased year by year in China after the expansion of vaccination, but there is still a high disease burden in Jiangsu Province of China. METHODS: The year-by-year incidence data of HBV in Jiangsu Province from 1990 to 2021 were collected. The incidence rates of males and females age groups were clustered by systematic clustering, and the incidence rates of each age group were analyzed and studied by using Joinpoint regression model and age-period-cohort effect model (APC). RESULTS: Joinpoint regression model and APC model showed a general decrease in HBV prevalence in both males and females. In addition, the results of the APC model showed that the age, period, and cohort effects of patients all affected the incidence of HBV, and the incidence was higher in males than in females. The incidence is highest in the population between the ages of 15 and 30 years (mean: 21.76/100,000), especially in males (mean: 31.53/100,000) than in females (mean:11.67/100,000). Another high-risk group is those over 60 years of age (mean: 21.40/100,000), especially males (mean: 31.17/100,000) than females (mean: 11.63/100,000). The period effect of the APC model suggests that HBV vaccination is effective in reducing the incidence of HBV in the population. CONCLUSIONS: The incidence of HBV in Jiangsu Province showed a gradual downward trend, but the disease burden in males was higher than that in females. The incidence is higher and increasing rapidly in the population between the ages of 15 and 30 years and people over 60 years of age. More targeted prevention and control measures should be implemented for males and the elderly. KeAi Publishing 2023-07-10 /pmc/articles/PMC10371820/ /pubmed/37520113 http://dx.doi.org/10.1016/j.idm.2023.07.007 Text en © 2023 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Article
Fang, Kang
Shi, Yingying
zhao, Zeyu
Zhao, Yunkang
Guo, Yichao
Abudunaibi, Buasivamu
Qu, Huimin
Liu, Qiao
Kang, Guodong
Wang, Zhiguo
Hu, Jianli
Chen, Tianmu
Trends in disease burden of hepatitis B infection in Jiangsu Province, China, 1990–2021
title Trends in disease burden of hepatitis B infection in Jiangsu Province, China, 1990–2021
title_full Trends in disease burden of hepatitis B infection in Jiangsu Province, China, 1990–2021
title_fullStr Trends in disease burden of hepatitis B infection in Jiangsu Province, China, 1990–2021
title_full_unstemmed Trends in disease burden of hepatitis B infection in Jiangsu Province, China, 1990–2021
title_short Trends in disease burden of hepatitis B infection in Jiangsu Province, China, 1990–2021
title_sort trends in disease burden of hepatitis b infection in jiangsu province, china, 1990–2021
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10371820/
https://www.ncbi.nlm.nih.gov/pubmed/37520113
http://dx.doi.org/10.1016/j.idm.2023.07.007
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