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Spatial age-period-cohort analysis of hepatitis B risk in Xinjiang from 2006 to 2019
OBJECTIVE: The objective of this study was to investigate the spatio-temporal distribution and epidemiological characteristics of hepatitis B in 96 districts and counties of Xinjiang and to give useful information for hepatitis B prevention and treatment. METHODS: Based on the incidence data of hepa...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10264624/ https://www.ncbi.nlm.nih.gov/pubmed/37325304 http://dx.doi.org/10.3389/fpubh.2023.1171516 |
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author | Wang, Yijia Xie, Na Li, Fengjun Wang, Zhe Ding, Shuzhen Hu, Xijian Wang, Kai |
author_facet | Wang, Yijia Xie, Na Li, Fengjun Wang, Zhe Ding, Shuzhen Hu, Xijian Wang, Kai |
author_sort | Wang, Yijia |
collection | PubMed |
description | OBJECTIVE: The objective of this study was to investigate the spatio-temporal distribution and epidemiological characteristics of hepatitis B in 96 districts and counties of Xinjiang and to give useful information for hepatitis B prevention and treatment. METHODS: Based on the incidence data of hepatitis B in 96 districts and counties of Xinjiang from 2006 to 2019, the global trend analysis method was used to characterize the spatial variability of the disease, and the spatial autocorrelation and spatio-temporal aggregation analysis were used to explore the spatial clustering of hepatitis B and to identify high-risk areas and periods. The Integrated Nested Laplace Approximation (INLA)-based spatial age-period-cohort model was established to further explore the influence of age, period, birth queue effect, and spatial distribution on the incidence risk of hepatitis B, and sum-to-zero constraint was adopted to avoid the issue of model unrecognition. RESULTS: The risk of hepatitis B in Xinjiang is increasing from west to east and from north to south, with spatial heterogeneity and spatio-temporal scanning statistics yielding five clustering areas. The spatial age-period-cohort model showed two peaks in the average risk of hepatitis B, at [25,30) years old and [50,55) years old, respectively. The mean risk of hepatitis B incidence fluctuated up and down around 1 with time, and the average risk of disease by birth cohort displayed an increasing-decreasing-stabilizing trend. Taking age, period, and cohort effect into consideration, it was found that the areas with a high risk of hepatitis B are Tianshan District, Xinshi District, Shuimogou District, Changji City, Aksu City, Kashi City, Korla City, Qiemo County and Yopurga County in Xinjiang. According to the spatio-temporal effect item, it was found that there are unobserved variables affecting the incidence of hepatitis B in some districts and counties of Xinjiang. CONCLUSION: The spatio-temporal characteristics of hepatitis B and the high-risk population needed to be taken into attention. It is suggested that the relevant disease prevention and control centers should strengthen the prevention and control of hepatitis B among young people while paying attention to middle-aged and older adult people, and strengthening the prevention and monitoring of high-risk areas. |
format | Online Article Text |
id | pubmed-10264624 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-102646242023-06-15 Spatial age-period-cohort analysis of hepatitis B risk in Xinjiang from 2006 to 2019 Wang, Yijia Xie, Na Li, Fengjun Wang, Zhe Ding, Shuzhen Hu, Xijian Wang, Kai Front Public Health Public Health OBJECTIVE: The objective of this study was to investigate the spatio-temporal distribution and epidemiological characteristics of hepatitis B in 96 districts and counties of Xinjiang and to give useful information for hepatitis B prevention and treatment. METHODS: Based on the incidence data of hepatitis B in 96 districts and counties of Xinjiang from 2006 to 2019, the global trend analysis method was used to characterize the spatial variability of the disease, and the spatial autocorrelation and spatio-temporal aggregation analysis were used to explore the spatial clustering of hepatitis B and to identify high-risk areas and periods. The Integrated Nested Laplace Approximation (INLA)-based spatial age-period-cohort model was established to further explore the influence of age, period, birth queue effect, and spatial distribution on the incidence risk of hepatitis B, and sum-to-zero constraint was adopted to avoid the issue of model unrecognition. RESULTS: The risk of hepatitis B in Xinjiang is increasing from west to east and from north to south, with spatial heterogeneity and spatio-temporal scanning statistics yielding five clustering areas. The spatial age-period-cohort model showed two peaks in the average risk of hepatitis B, at [25,30) years old and [50,55) years old, respectively. The mean risk of hepatitis B incidence fluctuated up and down around 1 with time, and the average risk of disease by birth cohort displayed an increasing-decreasing-stabilizing trend. Taking age, period, and cohort effect into consideration, it was found that the areas with a high risk of hepatitis B are Tianshan District, Xinshi District, Shuimogou District, Changji City, Aksu City, Kashi City, Korla City, Qiemo County and Yopurga County in Xinjiang. According to the spatio-temporal effect item, it was found that there are unobserved variables affecting the incidence of hepatitis B in some districts and counties of Xinjiang. CONCLUSION: The spatio-temporal characteristics of hepatitis B and the high-risk population needed to be taken into attention. It is suggested that the relevant disease prevention and control centers should strengthen the prevention and control of hepatitis B among young people while paying attention to middle-aged and older adult people, and strengthening the prevention and monitoring of high-risk areas. Frontiers Media S.A. 2023-05-31 /pmc/articles/PMC10264624/ /pubmed/37325304 http://dx.doi.org/10.3389/fpubh.2023.1171516 Text en Copyright © 2023 Wang, Xie, Li, Wang, Ding, Hu and Wang. https://creativecommons.org/licenses/by/4.0/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) and the copyright owner(s) 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. |
spellingShingle | Public Health Wang, Yijia Xie, Na Li, Fengjun Wang, Zhe Ding, Shuzhen Hu, Xijian Wang, Kai Spatial age-period-cohort analysis of hepatitis B risk in Xinjiang from 2006 to 2019 |
title | Spatial age-period-cohort analysis of hepatitis B risk in Xinjiang from 2006 to 2019 |
title_full | Spatial age-period-cohort analysis of hepatitis B risk in Xinjiang from 2006 to 2019 |
title_fullStr | Spatial age-period-cohort analysis of hepatitis B risk in Xinjiang from 2006 to 2019 |
title_full_unstemmed | Spatial age-period-cohort analysis of hepatitis B risk in Xinjiang from 2006 to 2019 |
title_short | Spatial age-period-cohort analysis of hepatitis B risk in Xinjiang from 2006 to 2019 |
title_sort | spatial age-period-cohort analysis of hepatitis b risk in xinjiang from 2006 to 2019 |
topic | Public Health |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10264624/ https://www.ncbi.nlm.nih.gov/pubmed/37325304 http://dx.doi.org/10.3389/fpubh.2023.1171516 |
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