Evidence map›Paper›PMID 42050469›Full record

ArticleBMC public health2026

Spatiotemporal heterogeneity and influencing factors of hepatitis B in China: a 17-year national surveillance analysis.

Suxian Wang, Qingfeng Tian, Yaojun Zhao

Abstract read
In one paragraph

Article in BMC public health, 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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2 · The registry

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Suxian WangDepartment of Health Management, College of Public Health, Zhengzhou University, Zhengzhou, China.
Qingfeng TianDepartment of Health Management, College of Public Health, Zhengzhou University, Zhengzhou, China.
Yaojun ZhaoDepartment of Health Management, College of Public Health, Zhengzhou University, Zhengzhou, China. zhaoyaojun@zzu.edu.cn.

Funding

2025 Henan Provincial Young and Middle-Aged Health Science and Technology Innovation Talent Training Program LJRC2025004
6 · The paper itself

Abstract

backgroundHepatitis B remains a major global public health concern, and China bears one of the heaviest burdens worldwide. However, existing research on factors influencing hepatitis B incidence in China remains insufficient, with limited attention paid to educational, environmental, and meteorological factors.

methodsData on hepatitis B incidence were obtained from the Public Health Science Data Center. Spatial correlation analysis was performed using GeoDa 1.20 software, and a geotemporally weighted regression (GTWR) model was applied to examine spatial heterogeneity in the incidence of hepatitis B.

resultsBetween 2004 and 2020, hepatitis B incidence in China exhibited a decreasing trend and significant seasonality, peaking in March. Spatially, incidence was lower in the eastern regions and higher in the western regions, particularly in Tibet and Xinjiang, indicating marked spatial heterogeneity. High-high clusters were primarily concentrated in Guangdong, whereas low-low clusters were identified in Jiangsu and Shanghai. NDVI and the number of licensed (assistant) physicians per 1,000 population were positively associated with hepatitis B incidence, while the number of healthcare beds per 1,000 population and the illiteracy rate were negatively associated.

conclusionsThis underscores the importance of formulating hepatitis B policies in light of local conditions. Priority should be given to high-incidence areas such as western China and Guangdong. Government efforts should focus on increasing investment in healthcare resources, enhancing hepatitis B prevention awareness among the floating population, and expanding vaccination coverage to reduce infection risk. Our findings highlight that geospatial methods can provide crucial insights into optimizing healthcare resource allocation for hepatitis B control and other infectious diseases.

Indexed as

Hepatitis BPopulation SurveillanceChinaHumansIncidenceRisk FactorsSeasonsSpatio-Temporal AnalysisGTWRHepatitis BSpatial autocorrelation analysisSpatiotemporal heterogeneity

Identifiers

PMID42050469
PMCPMC13273971

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