Institute of Geodesy and Geophysics, Chinese Academy of Sciences, Wuhan 430077, China.
University of Chinese Academy of Sciences, Beijing 100049, China.
Int J Environ Res Public Health. 2018 Aug 12;15(8):1729. doi: 10.3390/ijerph15081729.
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.
本研究旨在揭示中国西部人体包虫病(CE)的流行风险因素并预测其流行趋势。为此,我们分析了中国西部七个省份的县级人体 CE 流行数据以及相关的人类、自然地理环境数据。然后,我们使用空间分析和多元回归分析来研究人体 CE 的流行与相关环境因素之间的相关性,并创建七个省份疾病风险图。分析结果表明,草地面积比和藏族人口比是与人体 CE 流行呈正相关的独立变量,而国内生产总值(GDP)和地表温度(LST;春季)是负相关的独立变量。我们还创建了人体 CE 的预测风险图,结果显示高风险地区主要位于青海南部、四川西北部和西藏自治区大部分地区。了解人体 CE 相关的空间分布和风险因素有助于预防和控制中国的包虫病。