Epidemiological Characteristics and Spatiotemporal Clustering of Symptomatic Hepatitis E Virus Reinfection in Zhejiang Province, 2005–2023

Hepatitis E virus (HEV) reinfection is prevalent among the population, posing a significant burden on prevention and control efforts. In this study, we conducted a comprehensive analysis of data from China's Disease Prevention and Control Information System's infectious disease surveillance system to identify the epidemiological characteristics, spatiotemporal clustering, and high-risk populations of HEV reinfection. From 2005 to 2023, HEV reinfection in Zhejiang Province exhibited a fluctuating trend, peaking in 2020, with a 3-5-year lag compared to the pattern of HEV incidence. The Cox model indicated that individuals aged 40-50 and females are at higher risk of reinfection. Spatial autocorrelation was observed in reinfection cases from 2011 to 2016, with high-high clustering areas concentrated in downtown Hangzhou. Additionally, spatiotemporal scanning revealed that the clustering of reinfection cases has shifted from Hangzhou to coastal areas in recent years. Our findings suggest that targeted prevention and control measures for HEV rein fection should be implemented based on the characteristics of high-risk populations and spatiotemporal clustering patterns.

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Publication Details

Journal
Viruses
Published
2024-10-26
DOI
https://doi.org/10.3390/v16111676
Citations
3
Primary Topic
Hepatitis Viruses Studies and Epidemiology
Type
article
Field-Weighted Citation Impact
1.11
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article

Epidemiological Characteristics and Spatiotemporal Clustering of Symptomatic Hepatitis E Virus Reinfection in Zhejiang Province, 2005–2023

Yihan Lu, Zixiang Chen, Ziping Miao, Fengge Wang et al.
3 citations
Viruses
Hepatitis Viruses Studies and Epidemiology
1.11
article

Epidemiological Characteristics and Spatiotemporal Clustering of Symptomatic Hepatitis E Virus Reinfection in Zhejiang Province, 2005–2023

Yihan Lu, Zixiang Chen, Ziping Miao, Fengge Wang, Yijuan Chen, Lu Zhou
article en
3 citations

Abstract

Hepatitis E virus (HEV) reinfection is prevalent among the population, posing a significant burden on prevention and control efforts. In this study, we conducted a comprehensive analysis of data from China's Disease Prevention and Control Information System's infectious disease surveillance system to identify the epidemiological characteristics, spatiotemporal clustering, and high-risk populations of HEV reinfection. From 2005 to 2023, HEV reinfection in Zhejiang Province exhibited a fluctuating trend, peaking in 2020, with a 3-5-year lag compared to the pattern of HEV incidence. The Cox model indicated that individuals aged 40-50 and females are at higher risk of reinfection. Spatial autocorrelation was observed in reinfection cases from 2011 to 2016, with high-high clustering areas concentrated in downtown Hangzhou. Additionally, spatiotemporal scanning revealed that the clustering of reinfection cases has shifted from Hangzhou to coastal areas in recent years. Our findings suggest that targeted prevention and control measures for HEV rein fection should be implemented based on the characteristics of high-risk populations and spatiotemporal clustering patterns.

VirusesVol. 16(11)
Fudan University (CN), Zhejiang Center for Disease Control and Prevention (CN)
Good health and well-being
Openalex Percentile: Top 21%
Hepatitis Viruses Studies and Epidemiology
1.11
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Epidemiological Characteristics and Spatiotemporal Clustering of Symptomatic Hepatitis E Virus Reinfection in Zhejiang Province, 2005–2023 — Yihan Lu, Zixiang Chen, et al. · Viruses (2024) | TGRS Research Map | TGRS