Meteorological determinants of hepatitis E dynamics in Jiangsu Province, China: a pre-COVID-19 era study focusing on multi-route transmission (2005-2018).

Peihua Li, Jia Rui, Kangguo Li, Deng Bin, Hongjie Wei, Xi Tan, Tianmu Chen

Abstract read

In one paragraph

Article in Frontiers in public health, 2025. 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

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Peihua Li *Department of Science and Education, Beijing University of Chinese Medicine Shenzhen Hospital, Shenzhen, China.

Jia Rui *State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen, China.

Kangguo LiState Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen, China.

Deng BinGuizhou Center for Disease Control and Prevention, Guiyang, China.

Hongjie WeiState Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen, China.

Xi TanDepartment of Science and Education, Beijing University of Chinese Medicine Shenzhen Hospital, Shenzhen, China.

Tianmu ChenDepartment of Science and Education, Beijing University of Chinese Medicine Shenzhen Hospital, Shenzhen, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: This study aimed to investigate the impact of meteorological factors on the incidence and multi-route transmission dynamics of hepatitis E virus (HEV) in Jiangsu Province, China, during the pre-COVID-19 era (2005-2018), and to develop predictive models for informing public health interventions. Study design: A dual-model study integrating the Multi-Host and Multi-Route Transmission Dynamic Model (MHMRTDM) and Generalized Additive Model (GAM) was employed to quantify meteorological impacts on multi-route HEV transmission. Methods: HEV incidence data (2005-2018) and meteorological variables from provincial and national agencies were analyzed. The MHMRTDM quantified transmission rate coefficients ( Results: The optimal GAM integrated with the MHMRTDM was established (lowest GCV = 1.705 × 10 Conclusion: Meteorological factors drive HEV transmission through distinct pathways, with host-to-person interactions being particularly climate-sensitive. While the GAM provided valuable insights, future research incorporating behavioral and land-use factors, as well as causal inference models, will be critical for improving the understanding and predictive accuracy of HEV transmission dynamics.

Indexed as

Hepatitis EMeteorological ConceptsChinaCOVID-19HumansIncidenceSeasonsclimate-sensitive dynamicsgeneralized additive modelhepatitis Emeteorological determinantsmulti-host and multi-route transmission dynamic model

Identifiers

PMID40852666

DOI10.3389/fpubh.2025.1604579

PMCPMC12367770

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