ArticleFrontiers in cellular and infection microbiology2023
The spatiotemporal distribution and prognostic factors of Japanese encephalitis in Shanxi Province, China, 2005-2022.
Article in Frontiers in cellular and infection microbiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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4 citing papers in PubMed, 4 citations in OpenAlex.
- Pathogens of the human central nervous system-the major viral pathogens.Journal of neurovirology · 2026Review
- The hidden threats posed by Japanese encephalitis virus genotype V.Journal of virology · 2025Review
- Evaluation of oral and injectable liposome-based vaccines with synthesized lipid for Japanese encephalitis virus in Sprague-Dawley rats.Clinical and experimental vaccine research · 2025Article
- Comparison of two nutritional risk screening tools in hospitalized children with Japanese encephalitis: a causal inference of clinical outcomes and implications for optimized management.Italian journal of pediatrics · 2025Article
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4 authors at 3 institutions in 1 country.
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Abstract
Japanese encephalitis (JE) is a naturally occurring localized disease caused by the Japanese encephalitis virus, which is spread by the Culex tritaeniorhynchus. China has a high rate of JE. Shanxi, located in North China, has a high prevalence of adult JE. Adult JE has more severe complications, mortality, and a higher disease burden, making it a public health issue. This retrospective study examined the dynamic epidemic changes, high-risk areas of JE, and clinical characteristics and prognostic factors of adult JE in Shanxi Province. The findings revealed that July to September was the primary epidemic season of JE and that JE cases were mainly in individuals over the age of 40. The incidence of JE from 2005 to 2022 demonstrated a positive spatial correlation with significant clustering characteristics, with high-incidence clusters in the south and southeast. Multivariate logistic regression analysis revealed that higher cerebrospinal fluid pressure, higher white blood cell counts, higher neutrophil percentage, deep coma, and lower albumin were independent factors for poor prognosis of adult JE. The developed risk prediction model holds great promise in early prognosis assessment of patients, providing a basis for clinical decision-making and early clinical intervention.
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