Analysis of the spatial-temporal distribution characteristics of hepatitis E in Jiangsu province from 2005 to 2020

Objective This study attempts to analyze the spatial clustering and spatial-temporal distribution characteristics of hepatitis E (HE) at the county (city and district) level in Jiangsu province to provide a scientific basis for the prevention and control of HE. Method The information on HE cases rep...

Full description

Saved in:
Bibliographic Details
Published inFrontiers in public health Vol. 11; p. 1225261
Main Authors Shi, Yao, Shen, Wenqi, Liu, Wendong, Zhang, Xuefeng, Shang, Qingxiang, Cheng, Xiaoqing, Bao, Changjun
Format Journal Article
LanguageEnglish
Published Frontiers Media S.A 08.08.2023
Subjects
Online AccessGet full text

Cover

Loading…
More Information
Summary:Objective This study attempts to analyze the spatial clustering and spatial-temporal distribution characteristics of hepatitis E (HE) at the county (city and district) level in Jiangsu province to provide a scientific basis for the prevention and control of HE. Method The information on HE cases reported in the Chinese Center for Disease Control and Prevention Information System from 2005 to 2020 was collected for spatial autocorrelation analysis and spatial-temporal clustering analysis. Result From 2005 to 2020, 48,456 HE cases were reported in Jiangsu province, with an average annual incidence rate of 3.87/100,000. Male cases outnumbered female cases (2.46:1), and the incidence was highest in the 30–70 years of age group (80.50%). Farmers accounted for more than half of all cases (59.86%), and in terms of the average annual incidence, the top three cities were all in Zhenjiang city. Spatial autocorrelation analysis showed that Global Moran's I of HE incidence varied from 0.232 to 0.513 for the years. From 2005 to 2020, 31 counties (cities and districts) had high and statistically significant HE incidence, and two clustering areas were detected by spatial-temporal scanning. Conclusion HE incidence in Jiangsu province from 2005 to 2020 was stable, with age and gender differences, regional clustering, and spatial-temporal clustering. Further investigation of HE clustering areas is necessary to formulate corresponding targeted prevention and control measures.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
Reviewed by: María Belén Pisano, Universidad Nacional de Córdoba, Argentina; Ting Wu, Xiamen University, China; Dawei Cui, Zhejiang University School of Medicine, China
These authors have contributed equally to this work and share first authorship
Edited by: Jade L. L. Teng, The University of Hong Kong, Hong Kong SAR, China
ISSN:2296-2565
2296-2565
DOI:10.3389/fpubh.2023.1225261