Evidence map›Paper›PMID 42129253›Full record

ArticleScientific reports2026

Temporal and spatial dynamics of hepatitis incidence in China based on the STWR model.

Shuo Zhang, Calvin Yu Hui Chen, Jianfeng Xie, Xiaoping Chen

Abstract read
In one paragraph

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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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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.

2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Shuo Zhang *School of Mathematics and Statistics, Fujian Normal University, Fuzhou, China.
Calvin Yu Hui Chen *School of Computer and Data Science, Fujian University of Technology, Fuzhou, China.
Jianfeng XieFujian Provincial Center for Disease Control & Prevention, Fuzhou, China. xjf417@163.com.
Xiaoping ChenSchool of Computer and Data Science, Fujian University of Technology, Fuzhou, China. xpchen@fjut.edu.cn.

Funding

Natural Science Foundation of Fujian Province 2024Y9077, 2024Y9078, 2025J01998, 2025Y0025
6 · The paper itself

Abstract

To achieve the goal of "eliminating viral hepatitis as a public health threat by 2030" proposed by the World Health Organization, we explore the spatio-temporal dynamics of hepatitis incidence in China to provide reference for research, prevention, and control of hepatitis and other public health diseases. Local Indicators of Spatial Association (LISA) and Mann-Kendall (MK) trend tests were used to analyze the spatial-temporal variation of hepatitis incidence in China from 2012 to 2019. A spatio‑temporal weighted regression (STWR) model was constructed using provincial gross domestic product per capita, health expenditures, number of CDC personnel, number of healthcare institutions, and population density to assess spatio‑temporal heterogeneity in the associations with hepatitis incidence. From 2012 to 2019, statistically significant MK trends (p < 0.05) showed that HBV incidence decreased in 8 provinces and increased in 4 provinces; HCV incidence decreased in 7 provinces and increased in 17 provinces. Spatially, HBV exhibited a "high‑high" cluster with significant high-high clustering, whereas HCV showed "high‑low", "low‑high" and "low‑low" patterns. Crucially, the STWR model outperformed traditional OLS and spatial‑only GWR models, and indicated substantial spatio‑temporal non‑stationarity in the associations of all investigated drivers. The effectiveness of hepatitis control is intricately linked to, but not simply determined by, economic growth. Targeted public health investment synchronized with economic development, optimized CDC operations and healthcare resource allocation, and vigilant management of risks associated with population density and mobility are critical. The observed spatio‑temporal heterogeneity underscores the need for regionally tailored and dynamically adjusted intervention strategies, supported by robust cross‑regional collaboration, to achieve national hepatitis elimination goals.

Indexed as

HepatitisHepatitis CChinaHumansIncidenceSpatio-Temporal AnalysisHepatitis BHepatitis CSpatio-temporal heterogeneitySpatio-temporal weighted regression model

Identifiers

PMID42129253
PMCPMC13365517

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.