Evidence map›Paper›PMID 29584661›Full record

ArticleInternational journal of environmental research and public health2018

How Socio-Environmental Factors Are Associated with Japanese Encephalitis in Shaanxi, China-A Bayesian Spatial Analysis.

Shaobai Zhang, Wenbiao Hu, Xin Qi, Guihua Zhuang

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 16% of its field
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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

  1. Pooled it
  2. Climate sensitivity is widely but unevenly spread across zoonotic diseases.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Effects of Socio-Environmental Factors on Malaria Infection in Pakistan: A Bayesian Spatial Analysis.International journal of environmental research and public health · 2019
    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

4 authors at 3 institutions in 2 countries.

Shaobai ZhangSchool of Public Health, Xi'an Jiaotong University, Xi'an 710061, China. maolyzhang@126.com.
Wenbiao HuSchool of Public Health and Social Work, Queensland University of Technology, Kelvin Grove, QLD 4059, Australia. w2.hu@qut.edu.au.
Xin QiSchool of Public Health, Xi'an Jiaotong University, Xi'an 710061, China. chestertsee@outlook.com.ORCID 0000-0002-9204-6457
Guihua ZhuangSchool of Public Health, Xi'an Jiaotong University, Xi'an 710061, China. zhuanggh@mail.xjtu.edu.cn.
Xi'an Jiaotong University · CNQueensland University of Technology · AUXian Center for Disease Control and Prevention · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Evidence indicated that socio-environmental factors were associated with occurrence of Japanese encephalitis (JE). This study explored the association of climate and socioeconomic factors with JE (2006-2014) in Shaanxi, China. JE data at the county level in Shaanxi were supplied by Shaanxi Center for Disease Control and Prevention. Population and socioeconomic data were obtained from the China Population Census in 2010 and statistical yearbooks. Meteorological data were acquired from the China Meteorological Administration. A Bayesian conditional autoregressive model was used to examine the association of meteorological and socioeconomic factors with JE. A total of 1197 JE cases were included in this study. Urbanization rate was inversely associated with JE incidence during the whole study period. Meteorological variables were significantly associated with JE incidence between 2012 and 2014. The excessive precipitation at lag of 1-2 months in the north of Shaanxi in June 2013 had an impact on the increase of local JE incidence. The spatial residual variations indicated that the whole study area had more stable risk (0.80-1.19 across all the counties) between 2012 and 2014 than earlier years. Public health interventions need to be implemented to reduce JE incidence, especially in rural areas and after extreme weather.

Indexed as

Bayes TheoremCensusesChinaClimateEncephalitis, JapaneseFemaleHumansIncidenceMaleRiskSocioeconomic FactorsSpatial AnalysisUrbanizationWeathercontingent risk factorsgeographical information systemJapanese encephalitismeteorological variablesShaanxi of China

Identifiers

PMID29584661
PMCPMC5923650
OpenAlexW2794927100

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.