Geographical Environment Factors and Risk Mapping of Human Cystic Echinococcosis in Western China

Duan Huang, Rendong Li, Juan Qiu, Xiangdong Sun, Ruixia Yuan, Yuanyuan Shi, Yubing Qu and Yingnan Niu
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Duan Huang: Institute of Geodesy and Geophysics, Chinese Academy of Sciences, Wuhan 430077, China
Rendong Li: Institute of Geodesy and Geophysics, Chinese Academy of Sciences, Wuhan 430077, China
Juan Qiu: Institute of Geodesy and Geophysics, Chinese Academy of Sciences, Wuhan 430077, China
Xiangdong Sun: China Animal Health and Epidemiology Center, Qingdao 266032, China
Ruixia Yuan: Department of Epidemiology and Biostatistics, School of Health Sciences, Wuhan University, Wuhan 420000, China
Yuanyuan Shi: Institute of Geodesy and Geophysics, Chinese Academy of Sciences, Wuhan 430077, China
Yubing Qu: Institute of Geodesy and Geophysics, Chinese Academy of Sciences, Wuhan 430077, China
Yingnan Niu: Institute of Geodesy and Geophysics, Chinese Academy of Sciences, Wuhan 430077, China

IJERPH, 2018, vol. 15, issue 8, 1-15

Abstract: The study aimed to reveal the risk factors and predict the prevalence of human cystic echinococcosis (CE) in Western China. To do this, we analyzed county-wide data relating to the prevalence of human CE in seven provinces of Western China, along with associated human, natural geographical environmental data. We then used spatial analysis and multiple regression analysis to investigate the correlation between the prevalence of human CE and associated environmental factors and to create a risk map of the disease in the seven provinces. Our analysis showed that grassland area ratio and Tibetan population ratio were independent variables positively correlated with the prevalence of human CE and that gross domestic product (GDP) and land surface temperature (LST; Spring) were negative independent variables. We also created a predictive risk map of human CE that revealed that the high-risk areas were mainly located in the south of Qinghai, the Northwest of Sichuan and most of the Tibet Autonomous Region. Knowledge of the spatial distribution and risk factors associated with human CE could help to prevent and control echinococcosis in China.

Keywords: human cystic echinococcosis; remote sensing; environment factors; risk mapping; Western China (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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