Abstract
Abstract
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.
Reference20 articles.
1. Science of the Total Environment Effects of ambient temperature on bacillary dysentery : A multi-city analysis in Anhui Province, China;Hao;Sci. Total Environ.,2019
2. Analysis of factors evident in the relation between railways and the incidence of dysentery using linear regression;Yang;Geomatics, Nat. Hazards Risk,2019
3. Patterns of Bacillary Dysentery in China, 2005-2010;Zhang;Int. J. Environ. Res. Public Health,2016
4. Daily Temperature and Bacillary Dysentery : Estimated Effects, Attributable Risks, and Future Disease Burden in 316 Chinese Cities;Liu;Environ. Health Perspect.,2020
5. Seasonal and geographical distribution of bacillary dysentery (shigellosis) and associated climate risk factors in Kon Tum Province in Vietnam from 1999 to 2013;Lee;Infect. Dis. Poverty,2017