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DOI 10.1371/journal.pone.0102020

Медицинская библиотека · PloS one · 2014

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

Nie Chengjing, Li Hairong, Yang Linsheng, Zhong Gemei, Zhang Lan

СтатьяПоддержка исследования: вне правительства СШАПеревод в очереди

Аннотация

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.

Для цитирования: Nie Chengjing, Li Hairong, Yang Linsheng, Zhong Gemei, Zhang Lan. Socio-economic factors of bacillary dysentery based on spatial correlation analysis in Guangxi Province, China.. PloS one. 2014. DOI: 10.1371/journal.pone.0102020.

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