Socio-economic factors of bacillary dysentery based on spatial correlation analysis in Guangxi Province, China.

Abstract

BACKGROUND:

In the past decade, bacillary dysentery was still a big public health problem in China, especially in Guangxi Province, where thousands of severe diarrhea cases occur every year.

METHODS:

Reported bacillary dysentery cases in Guangxi Province were obtained from local Centers for Diseases Prevention and Control. The 14 socio-economic indexes were selected as potential explanatory variables for the study. The spatial correlation analysis was used to explore the associations between the selected factors and bacillary dysentery incidence at county level, which was based on the software of ArcGIS10.2 and GeoDA 0.9.5i.

RESULTS:

The proportion of primary industry, the proportion of younger than 5-year-old children in total population, the number of hospitals per thousand persons and the rates of bacillary dysentery incidence show statistically significant positive correlation. But the proportion of secondary industry, per capital GDP, per capital government revenue, rural population proportion, popularization rate of tap water in rural area, access rate to the sanitation toilets in rural, number of beds in hospitals per thousand persons, medical and technical personnel per thousand persons and the rate of bacillary dysentery incidence show statistically significant negative correlation. The socio-economic factors can be divided into four aspects, including economic development, health development, medical development and human own condition. The four aspects were not isolated from each other, but interacted with each other.

• Authors: Chengjing Nie, Hairong Li, Linsheng Yang, Gemei Zhong, Lan Zhang
• Journal: PloS one (PLoS One) Vol. 9 Issue 7 Pg. e102020 ( 2014) ISSN: 1932-6203 [Electronic] United States
• PMID: 25036182 (Publication Type: Journal Article, Research Support, Non-U.S. Gov't)

Topics

• Child, Preschool
• China (epidemiology)
• Dysentery, Bacillary (epidemiology)
• Female
• Humans
• Incidence
• Male
• Risk Factors
• Socioeconomic Factors
• Spatial Analysis