ArticleTransboundary and emerging diseases2025
Characterizing Epidemiological Trends and Associated Factors of Japanese Encephalitis in China: Insights From a 17-Year National Surveillance Analysis.
Article in Transboundary and emerging diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Spatiotemporal patterns and meteorological associations of mosquito density: insights from mosquito surveillance in Chengdu, China.Frontiers in cellular and infection microbiology · 2026Article
- Characterizing Epidemiological Trends and Associated Factors of Japanese Encephalitis in China: Insights From a 17-Year National Surveillance Analysis.Transboundary and emerging diseases · 2025Article
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Authors and funding
11 authors.
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Abstract
Japanese encephalitis (JE) is a mosquito-borne infectious disease that is primarily endemic in Asia and the Western Pacific region. In recent years, the epidemiological profile of JE in China has undergone significant transformations, posing novel challenges to disease control and prevention. To systematically evaluate these changes, we analyzed nationwide longitudinal surveillance data on JE incidence from 2004 to 2020. Bayesian spatiotemporal hierarchy model and age-period-cohort analysis were employed to explore long-term trends and transmission dynamics, and the geographical detector model was used to assess the synergistic effects of meteorological, ecological, and socioeconomic factors on the distribution of JE. During the study period, a total of 43,857 JE cases were reported in mainland China, with an incidence rate per 100,000 population declining from 0.42 to 0.02. Spatially, traditional hyperendemic areas remained concentrated in southwest (Sichuan, Guizhou, Yunnan, and Chongqing), while significant northward expansion was observed in the northwestern China of Gansu and Shaanxi provinces. Our models indicated that spatiotemporal heterogeneity in JE transmission was strongly influenced by the interaction effects between socioeconomic development and meteorological variables, particularly the medical level, GDP per capita, and education level. These findings underscore the need for spatially adaptive and age-specific public health strategies in response to changing JE risks under socioeconomic and environmental transitions.
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