ArticlePloS one2014
Socio-economic factors of bacillary dysentery based on spatial correlation analysis in Guangxi Province, China.
Article in PloS one, 2014. 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.
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Who cites it
14 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Patterns of Bacillary Dysentery in China, 2005-2010.International journal of environmental research and public health · 2016Pooled it
- Epidemiological characteristics and spatio-temporal analysis of bacillary dysentery in Shaanxi Province, China, 2005-2024.BMC infectious diseases · 2026Article
- Exploring the multidimensional factors associated with the incidence of bacillary dysentery in China based on a panel data model.Frontiers in public health · 2026Article
- Construction of Ecological Security Pattern Based on the Importance of Ecological Protection-A Case Study of Guangxi, a Karst Region in China.International journal of environmental research and public health · 2022Article
- Landscape Pattern and Ecological Risk Assessment in Guangxi Based on Land Use Change.International journal of environmental research and public health · 2022Article
- Relative transmissibility of shigellosis among male and female individuals: a modeling study in Hubei Province, China.Infectious diseases of poverty · 2020Article
- A descriptive analysis of the Spatio-temporal distribution of intestinal infectious diseases in China.BMC infectious diseases · 2019Article
- Spatiotemporal Characteristics of Bacillary Dysentery from 2005 to 2017 in Zhejiang Province, China.International journal of environmental research and public health · 2018Article
- Spatiotemporal Risk of Bacillary Dysentery and Sensitivity to Meteorological Factors in Hunan Province, China.International journal of environmental research and public health · 2017Article
- Equity in health financing of Guangxi after China's universal health coverage: evidence based on health expenditure comparison in rural Guangxi Zhuang autonomous region from 2009 to 2013.International journal for equity in health · 2017Article
- Mapping mHealth (mobile health) and mobile penetrations in sub-Saharan Africa for strategic regional collaboration in mHealth scale-up: an application of exploratory spatial data analysis.Globalization and health · 2017Article
- Environmental Drivers and Predicted Risk of Bacillary Dysentery in Southwest China.International journal of environmental research and public health · 2017Article
- The impact of predisposing, enabling, and need factors in utilization of health services among rural residents in Guangxi, China.BMC health services research · 2016Article
- Spatio-Temporal Pattern and Socio-Economic Factors of Bacillary Dysentery at County Level in Sichuan Province, China.Scientific reports · 2015Article
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5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundIn 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.
methodsReported 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.
resultsThe 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.
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