ArticleScientific reports2026
Spatiotemporal evolution characteristics and influencing factors of hepatitis B incidence rate in China.
Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Abstract
Hepatitis B virus (HBV) infection remains a persistent public health challenge in China, with significant spatiotemporal heterogeneity in incidence. This study aimed to examine regional disparities in hepatitis B incidence, explore its spatiotemporal evolution patterns, and analyze the spatiotemporal heterogeneity of associated factors across China, using incidence data from 2008 to 2023. The Dagum Gini coefficient decomposition method assessed regional disparity sources, the standard deviation ellipse explored spatiotemporal direction and global characteristics, exploratory spatial data analysis (ESDA) examined spatial correlation and aggregation, and the geographically and temporally weighted regression (GTWR) model was used to examine spatiotemporal heterogeneity of influencing factors. Results showed narrowing regional disparities, declining spatial aggregation, and a standard deviation ellipse located in eastern and central regions with a southeastward shift, alongside the incidence gravity center moving 351.25 km southeast. Patterns shifted from clustered to dispersed, likely due to vaccination and improved healthcare allocation. Six socioeconomic factors exerted significant yet spatiotemporally heterogeneous impacts, with diverse, regionally varying effects based on economic and policy contexts.
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