English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Bacillary dysentery (BD) has become one of the major public health threats to the sustainable development of human beings. The primary objective of this paper is to validate the effectiveness of applying spatial empirical Bayesian smoothing (SEBS) method in spatial analysis of BD in Yudu County, Jiangxi Province. By using SEBS method in calculating BD incidence, we compared the raw incidence data and smoothed incidence data. Spatial distribution map and global autocorrelation analysis were adopted to explore the effect of SEBS method in BD analysis. The result showed that SEBS method provided a stable incidence estimate in epidemic research. The proposed method could be used as an effective tool for studying the spatial distribution of BD, especially in town level study.

iop conference series. earth and environmental science

The application of spatial empirical Bayesian smoothing method in spatial analysis of bacillary dysentery: A case study in Yudu County, Jiangxi Province