Hu Yi, Li Si, Xia Congcong, Chen Yue, Lynn Henry, Zhang Tiejun, Xiong Chenglong, Chen Gengxin, He Zonggui, Zhang Zhijie
Department of Epidemiology, School of Public Health, Fudan University, Shanghai, China; Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China; Laboratory for Spatial Analysis and Modeling, School of Public Health, Fudan University, Shanghai, China; Collaborative Innovation Center of Social Risks Governance in Health, School of Public Health, Fudan University, Shanghai, China.
School of Epidemiology, Pubic Health and Preventive Medicine, Faculty of Medicine, University of Ottawa, 451 Smyth Rd, Ottawa, Ontario, Canada.
Int J Parasitol. 2017 Jan;47(1):21-29. doi: 10.1016/j.ijpara.2016.09.003. Epub 2016 Nov 17.
Schistosomiasis remains a major public health problem in eastern China, particularly along the Yangtze River Basin. The latest national schistosomiasis control program (NSCP) was implemented in 2005 with the main goal of reducing the rate of infection to less than 5% by 2008 and 1% by 2015. To assess the progress, we applied a Bayesian spatio-temporal model to describe dynamics of schistosomiasis in Guichi, Anhui Province, China, using annual parasitological and environmental data collected within 41 sample villages for the period 2005-2011. Predictive maps of schistosomiasis showed that the disease prevalence remains constant and low. Results of uncertainty analysis, in the form of probability contour maps (PCMs), indicated that the first goal of "infection rate less than 5% by 2008" was fully achieved in the study area. More longitudinal data for schistosomiasis are needed for the assessment of the second goal of "infection rate less than 1% by 2015". Compared with the traditional way of mapping uncertainty (e.g., variance or mean-square error), our PCMs provide more realistic information for schistosomiasis control.
血吸虫病在中国东部地区,尤其是长江流域,仍然是一个重大的公共卫生问题。最新的国家血吸虫病防治规划(NSCP)于2005年实施,主要目标是到2008年将感染率降至5%以下,到2015年降至1%以下。为评估进展情况,我们应用贝叶斯时空模型,利用2005 - 2011年期间在安徽省贵池41个样本村收集的年度寄生虫学和环境数据,描述中国安徽省贵池血吸虫病的动态变化。血吸虫病预测地图显示,该病患病率保持稳定且较低。以概率等值线图(PCM)形式进行的不确定性分析结果表明,研究区域已完全实现“到2008年感染率低于5%”的首个目标。评估“到2015年感染率低于1%”的第二个目标需要更多血吸虫病的纵向数据。与绘制不确定性的传统方法(如方差或均方误差)相比,我们的概率等值线图为血吸虫病防治提供了更现实的信息。