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Dataset Information

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


ABSTRACT:

Background

Hepatitis 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.

Methods

The 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.

Results

In 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

SUBMITTER: Xue M 

PROVIDER: S-EPMC11892861 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature