Evidence map›Paper›PMID 41473408›Full record

ArticleTransboundary and emerging diseases2025

Characterizing Epidemiological Trends and Associated Factors of Japanese Encephalitis in China: Insights From a 17-Year National Surveillance Analysis.

Junze Du, Rui Li, Peng Li, Ting Fu, Zurong Yang, Bo Wen, Zhijia Sun, Guzhengyue Zheng, Haiyan Zhou, Hongxia Tan and 1 more

Abstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Junze DuDepartment of Epidemiology, School of Public Health, The Ministry of Education Key Lab of Hazard Assessment and Control in Special Operational Environment, The Shaanxi Provincial Key Laboratory of Environmental Health Hazard Assessment and Protection, The Fourth Military Medical University, Xi'an, 710032, China, fmmu.edu.cn.ORCID https://orcid.org/0009-0002-0354-994X
Rui LiDepartment of Epidemiology, School of Public Health, The Ministry of Education Key Lab of Hazard Assessment and Control in Special Operational Environment, The Shaanxi Provincial Key Laboratory of Environmental Health Hazard Assessment and Protection, The Fourth Military Medical University, Xi'an, 710032, China, fmmu.edu.cn.
Peng LiDepartment of Epidemiology, School of Public Health, The Ministry of Education Key Lab of Hazard Assessment and Control in Special Operational Environment, The Shaanxi Provincial Key Laboratory of Environmental Health Hazard Assessment and Protection, The Fourth Military Medical University, Xi'an, 710032, China, fmmu.edu.cn.ORCID https://orcid.org/0000-0002-8780-3150
Ting FuDepartment of Epidemiology, School of Public Health, The Ministry of Education Key Lab of Hazard Assessment and Control in Special Operational Environment, The Shaanxi Provincial Key Laboratory of Environmental Health Hazard Assessment and Protection, The Fourth Military Medical University, Xi'an, 710032, China, fmmu.edu.cn.
Zurong YangDepartment of Epidemiology, School of Public Health, The Ministry of Education Key Lab of Hazard Assessment and Control in Special Operational Environment, The Shaanxi Provincial Key Laboratory of Environmental Health Hazard Assessment and Protection, The Fourth Military Medical University, Xi'an, 710032, China, fmmu.edu.cn.
Bo WenCentre for Disease Prevent and Control in Northern Theater Command, 6 Long Shan Road, Shenyang, 110034, China.
Zhijia SunDepartment of Radiation Oncology, Air Force Characteristic Medical Center, Air Force Medical University, Beijing, China, fmmu.edu.cn.ORCID https://orcid.org/0000-0001-6608-2326
Guzhengyue ZhengSchool of Medicine, Xizang Minzu University, No. 6 Wenhui East Road Weicheng District, Xianyang, 712082, Shaanxi, China, xzmu.edu.cn.
Haiyan ZhouDepartment of Epidemiology, School of Public Health, The Ministry of Education Key Lab of Hazard Assessment and Control in Special Operational Environment, The Shaanxi Provincial Key Laboratory of Environmental Health Hazard Assessment and Protection, The Fourth Military Medical University, Xi'an, 710032, China, fmmu.edu.cn.
Hongxia TanDepartment of Epidemiology, School of Public Health, The Ministry of Education Key Lab of Hazard Assessment and Control in Special Operational Environment, The Shaanxi Provincial Key Laboratory of Environmental Health Hazard Assessment and Protection, The Fourth Military Medical University, Xi'an, 710032, China, fmmu.edu.cn.
Kun LiuDepartment of Epidemiology, School of Public Health, The Ministry of Education Key Lab of Hazard Assessment and Control in Special Operational Environment, The Shaanxi Provincial Key Laboratory of Environmental Health Hazard Assessment and Protection, The Fourth Military Medical University, Xi'an, 710032, China, fmmu.edu.cn.ORCID https://orcid.org/0000-0003-1847-8208

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Encephalitis, JapaneseAdolescentAdultAgedBayes TheoremChildChild, PreschoolChinaFemaleHumansIncidenceInfantLongitudinal StudiesMaleMiddle AgedRisk FactorsBayesian spatiotemporal hierarchy modelJapanese encephalitisnational surveillancerisk factorsspatial epidemiology

Identifiers

PMID41473408
PMCPMC12745838

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.