ArticleScientific reports2015
Spatio-Temporal Pattern and Socio-Economic Factors of Bacillary Dysentery at County Level in Sichuan Province, China.
Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 24 citations in OpenAlex.
- Shigellosis seasonality and transmission characteristics in different areas of China: A modelling study.Infectious Disease Modelling · 2022Article
- Exploring the effect of the primary care health workers number on infectious diarrhea morbidity and where the health resources should go.Scientific reports · 2022Article
- Spatio-temporal analysis of bacillary dysentery in Sichuan province, China, 2011-2019.BMC infectious diseases · 2021Article
- Spatiotemporal distribution and sociodemographic and socioeconomic factors associated with primary and secondary syphilis in Guangdong, China, 2005-2017.PLoS neglected tropical diseases · 2021Article
- Epidemiological characteristics of bacillary dysentery from 2009 to 2016 and its incidence prediction model based on meteorological factors.Environmental health and preventive medicine · 2019Article
- A descriptive analysis of the Spatio-temporal distribution of intestinal infectious diseases in China.BMC infectious diseases · 2019Article
- Identifying Infectious Diarrhea Hot spots and Associated Socioeconomic Factors in Anhui Province, China.The American journal of tropical medicine and hygiene · 2019Article
- Dynamic Bayesian network in infectious diseases surveillance: a simulation study.Scientific reports · 2019Article
- Exploring the Relevance of Green Space and Epidemic Diseases Based on Panel Data in China from 2007 to 2016.International journal of environmental research and public health · 2019Article
- Spatiotemporal Characteristics of Bacillary Dysentery from 2005 to 2017 in Zhejiang Province, China.International journal of environmental research and public health · 2018Article
- Spatial-temporal detection of risk factors for bacillary dysentery in Beijing, Tianjin and Hebei, China.BMC public health · 2017Article
- Association between socio-economic status and dental caries in elderly people in Sichuan Province, China: a cross-sectional study.BMJ open · 2017Article
- Environmental Drivers and Predicted Risk of Bacillary Dysentery in Southwest China.International journal of environmental research and public health · 2017Article
- Multivariate time series analysis on the dynamic relationship between Class B notifiable diseases and gross domestic product (GDP) in China.Scientific reports · 2016Article
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Bacillary dysentery (BD) remains a big public health problem in China. Effective spatio-temporal monitoring of BD incidence is important for successful implementation of control and prevention measures. This study aimed to examine the spatio-temporal pattern of BD and analyze socio-economic factors that may affect BD incidence in Sichuan province, China. Firstly, we used space-time scan statistic to detect the high risk spatio-temporal clusters in each year. Then, bivariate spatial correlation and Bayesian spatio-temporal model were utilized to examine the associations between the socio-economic factors and BD incidence. Spatio-temporal clusters of BD were mainly located in the northern-southern belt of the midwest area of Sichuan province. The proportion of primary industry, the proportion of rural population and the rates of BD incidence show statistically significant positive correlation. The proportion of secondary industry, proportion of tertiary Industry, number of beds in hospitals per thousand persons, medical and technical personnel per thousand persons, per capital GDP and the rate of BD incidence show statistically significant negative correlation. The best fitting spatio-temporal model showed that medical and technical personnel per thousand persons and per capital GDP were significantly negative related to the risk of BD.
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