Chen Yan-Yan, Liu Jian-Bing, Jiang Yong, Li Guo, Shan Xiao-Wei, Zhang Juan, Cai Shun-Xiang, Huang Xi-Bao
Hubei Center for Disease Control and Prevention, Wuhan, China.
Acta Trop. 2018 Apr;180:88-96. doi: 10.1016/j.actatropica.2018.01.004. Epub 2018 Jan 10.
Schistosomiasis caused by parasitic flatworms of blood flukes, remains a major public health concern in China. The significant progress in controlling schistosomiasis in China over the past decades has resulted in the remarkable reduction in the prevalence and intensity of Schistosoma japonicum infection to an extremely low level. Therefore, the elimination of schistosomiasis has been promoted by the Chinese national government. Hubei Province is the major endemic area, that is, along the middle and low reaches of the Yangtze River in the lake and marshland regions of southern China. Eliminating the transmission of schistosomiasis in Hubei Province is challenging. The current issue is to determine the distributions and clusters of schistosomiasis transmission. In this study, we assessed the spatial distribution of schistosomiasis and the risk at the county level in Hubei Province from 2011 to 2015 to provide guidance on the elimination of schistosomiasis transmission in lake and marshland regions. Spatial database of human S.japonicum infection from 2011 to 2015 at the county level in the study area was built based on the annual schistosomias is surveillance data. Moran's I, the global spatial autocorrelation statistics, was utilized to describe the spatial autocorrelation of human S. japonicum infection. In addition, purely spatial scan statistics combined with space-time scan statistics were used to determine the epidemic clusters. Infection rates of S. japonicum decreased in each endemic county in Hubei from 2011 to 2015. Human S. japonicum infection rate showed statistical significance by global autocorrelation analysis during the study period (Moran's I > 0, P < 0.01). This result suggested that there were spatial clusters present in the distribution of S. japonicum infection for the five years. Purely spatial analysis of human S. japonicum infection showed one most likely cluster and one secondary cluster from 2011 to 2015, which covered four and one counties, respectively. Spatiotemporal clustering analysis determined one most likely cluster and one secondary cluster both in 2011-2012, which appeared in 4 and 5 counties, respectively. However, the number of clustering foci decreased with time, and no cluster was detected after 2013.The clustering foci were both located at the Jianghan Plain, along the middle reaches of the Yangtze River and its connecting branch Hanbei River. Spatial distribution of human S. japonicum infections did not change temporally at the county level in Hubei Province. A declining trend in spatiotemporal clustering was observed between 2011 and 2015. However, effective control strategies and integrated prevention should be continuously performed, especially at the Jianghan Plain area along the Yangtze and Hanbei River Basin. Multivariate statistical analysis was carried out to investigate the risk of missing examinations, missing treatment, and unstandardized treatment events. The results showed that age, education level and Sanitary latrines are risk factors for missing examinations (b > 0, OR >1), and treatment times in past and feeding cattle in village group are protective factors (b < 0, OR <1). We also found that age and education level are risk factors for missing treatment (b > 0, OR >1). Study of the risk for un-standardized treatment revealed that occupation is risk factors (b > 0, OR >1), though, education level is protective factors (b < 0, OR <1). Therefore, precise prevention and control should be mainly targeted at these special populations.
由血吸虫这种寄生扁虫引起的血吸虫病,在中国仍然是一个主要的公共卫生问题。在过去几十年里,中国在控制血吸虫病方面取得了显著进展,日本血吸虫感染的流行率和感染强度大幅下降至极低水平。因此,中国国家政府一直在推动消除血吸虫病。湖北省是主要的流行地区,即中国南方长江中下游的湖泊和沼泽地区。在湖北省消除血吸虫病传播具有挑战性。当前的问题是确定血吸虫病传播的分布和聚集情况。在本研究中,我们评估了2011年至2015年湖北省县级血吸虫病的空间分布和风险,以为湖泊和沼泽地区消除血吸虫病传播提供指导。基于年度血吸虫病监测数据,建立了研究区域2011年至2015年县级人类日本血吸虫感染的空间数据库。使用全局空间自相关统计量莫兰指数(Moran's I)来描述人类日本血吸虫感染的空间自相关性。此外,还使用了纯空间扫描统计量及时空扫描统计量来确定疫情聚集区。2011年至2015年,湖北省各流行县的日本血吸虫感染率均有所下降。在研究期间,通过全局自相关分析,人类日本血吸虫感染率具有统计学意义(莫兰指数I>0,P<0.01)。这一结果表明,在这五年中,日本血吸虫感染分布存在空间聚集。对人类日本血吸虫感染的纯空间分析显示,2011年至2015年有一个最可能的聚集区和一个次聚集区,分别覆盖4个县和1个县。时空聚类分析在2011 - 2012年确定了一个最可能的聚集区和一个次聚集区,分别出现在4个县和5个县。然而,聚集点数量随时间减少,2013年后未检测到聚集区。聚集点均位于江汉平原,长江中游及其支流汉北河沿岸。湖北省县级人类日本血吸虫感染的空间分布在时间上没有变化。2011年至2015年观察到时空聚集呈下降趋势。然而,应持续实施有效的控制策略和综合预防措施,特别是在长江和汉北河流域的江汉平原地区。进行了多变量统计分析,以调查漏检、漏治和治疗不规范事件的风险。结果表明,年龄、教育程度和卫生厕所是漏检的风险因素(b>0,OR>1),过去的治疗次数和在村组饲养牛是保护因素(b<0,OR<1)。我们还发现年龄和教育程度是漏治的风险因素(b>0,OR>1)。对治疗不规范风险的研究表明,职业是风险因素(b>0,OR>1),而教育程度是保护因素(b<0,OR<1)。因此,精准防控应主要针对这些特殊人群。