Evidence map›Paper›PMID 40063651›Full record

ArticlePloS one2025

Time series analysis and scaling law characteristics of viral hepatitis from 2004 to 2023 in Zhejiang Province, China.

Ming Xue, Chen Wu, Kui Liu, Qinbao Lu, Zheyuan Ding, Xinyi Wang, Tianyin Fu, Junfen Lin, Haocheng Wu

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

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2 · The registry

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Ming XueHangzhou Center for Disease Control and Prevention (Hangzhou Health Supervision Institution), Hangzhou, Zhejiang, China.
Chen WuZhejiang Province Center for Disease Control and Prevention, Hangzhou, Zhejiang, China.
Kui LiuZhejiang Province Center for Disease Control and Prevention, Hangzhou, Zhejiang, China.
Qinbao LuZhejiang Province Center for Disease Control and Prevention, Hangzhou, Zhejiang, China.
Zheyuan DingZhejiang Province Center for Disease Control and Prevention, Hangzhou, Zhejiang, China.
Xinyi WangZhejiang Province Center for Disease Control and Prevention, Hangzhou, Zhejiang, China.
Tianyin FuZhejiang Province Center for Disease Control and Prevention, Hangzhou, Zhejiang, China.
Junfen LinZhejiang Province Center for Disease Control and Prevention, Hangzhou, Zhejiang, China.
Haocheng WuZhejiang Province Center for Disease Control and Prevention, Hangzhou, Zhejiang, China.ORCID 0000-0003-1851-3704

Funding

Zhejiang Provincial Medical and Health Project WKJ-ZJ-2522 AND 2025KY774
6 · The paper itself

Abstract

backgroundHepatitis significantly increases the global disease burden and has become a major public health issue worldwide. China is a high-risk area for viral hepatitis, which is also a serious public health problem.

methodsThe scaling relationship between various types of hepatitis and population size was explained by a scaling law. Fixed-effects and random-effects meta-analyses were used to calculate a combined index of β based on the single-scale index from 2004 to 2023. Furthermore, the X11 process was employed to identify the structural components of the time series of various types of hepatitis.

resultsIn the past 20 years, the proportion of patients with viral hepatitis in Zhejiang Province has changed significantly, and hepatitis B remains the main type of hepatitis, accounting for approximately 70% of all hepatitis cases. The proportion of hepatitis C and E cases has been increasing, whereas the proportion of hepatitis A cases has been decreasing since 2004 and has remained at a low level (approximately 3%) since 2010. The combined scaling exponents of hepatitis A, hepatitis B, hepatitis C, hepatitis E and unclassified hepatitis based on the random effects model were 0.88 (95% confidence interval(CI): 0.78 to 0.98), 0.78 (95% CI: 0.70 to 0.86), 1.18 (95% CI: 1.11 to 1.26), 0.91 (95% CI: 0.86 to 0.97) and 0.89 (95% CI: 0.79 to 1.00), respectively.

conclusionIn the past 20 years, the epidemic situation of hepatitis A, hepatitis B and unclassified hepatitis has shown a significant downward trend, whereas the proportions of hepatitis C and hepatitis E among those with viral hepatitis have increased annually. The combined scaling exponent and development trends of the five types of hepatitis show significant heterogeneity. Overall, hepatitis C exhibits superlinear characteristics, whereas other types of hepatitis exhibit sublinear characteristics. Different types of hepatitis exhibit distinct epidemic characteristics and require targeted prevention and control measures.

Indexed as

Hepatitis, Viral, HumanChinaHepatitis BHepatitis CHumansTime Factors

Identifiers

PMID40063651
PMCPMC11892861

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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.