ArticleFrontiers in public health2023
Spatial age-period-cohort analysis of hepatitis B risk in Xinjiang from 2006 to 2019.
Article in Frontiers in public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 4 citations in OpenAlex.
- Spatiotemporal heterogeneity and influencing factors of hepatitis B in China: a 17-year national surveillance analysis.BMC public health · 2026Article
- Multidimensional analysis of pulmonary tuberculosis epidemiological characteristics in Jining City from 2010 to 2024: an integrated study based on spatial clustering, trend regression, and age-period-cohort modeling.Frontiers in public health · 2026Article
- Epidemiological characteristics of hepatitis B virus infection in adult patients before, during and after COVID-19 in China.Virology journal · 2025Article
- Spatial and temporal distribution patterns and factors influencing hepatitis B in China: a geo-epidemiological study.BMC public health · 2025Article
- Spatial-temporal analysis of hepatitis B in Fujian Province, China in 2012-2021.Infectious medicine · 2024Article
- Multiple change point analysis of hepatitis B reports in Xinjiang, China from 2006 to 2021.Frontiers in public health · 2023Article
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Authors and funding
7 authors at 4 institutions in 1 country.
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Abstract
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.
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