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Identifying Spatial Clusters of Schistosomiasis in Anhui Province of China: A Study from the Perspective of Application

机译:中国安徽省血吸虫病空间群的识别:基于应用的研究

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With the strategy shifting from morbidity control to transmission interruption, the burden of schistosomiasis in China has been declining over the past decade. However, further controls of the epidemic in the lake and marshland regions remain a challenge. Prevalence data at county level were obtained from the provincial surveillance system in Anhui during 1997–2010. Spatial autocorrelation analysis and spatial scan statistics were combined to assess the spatial pattern of schistosomiasis. The spatial-temporal cluster analysis based on retrospective space-time scan statistics was further used to detect risk clusters. The Global Moran’s I coefficients were mostly statistically significant during 1997–2004 but not significant during 2005–2010. The clusters detected by two spatial cluster methods occurred in Nanling, Tongling, Qingyang and Wuhu during 1997–2004, and Guichi and Wuhu from 2005 to 2010, respectively. Spatial-temporal cluster analysis revealed 2 main clusters, namely Nanling (1999–2002) and Guichi (2005–2008). The clustering regions were significantly narrowed while the spatial extent became scattered during the study period. The high-risk areas shifted from the low reaches of the Yangtze River to the upper stream, suggesting the focus of schistosomiasis control should be shifted accordingly and priority should be given to the snail habitats within the high-risk areas of schistosomiasis.
机译:随着策略从发病率控制向传播中断的转变,中国血吸虫病的负担在过去十年中一直在下降。但是,进一步控制湖泊和沼泽地地区的流行病仍然是一个挑战。县级患病率数据是从1997-2010年安徽省的监测系统中获得的。结合空间自相关分析和空间扫描统计来评估血吸虫病的空间格局。基于回顾性时空扫描统计数据的时空聚类分析被进一步用于检测风险聚类。全球Moran的I系数在1997-2004年期间大部分在统计上均具有统计学意义,但在2005-2010年期间则无统计学意义。通过两种空间聚类方法检测到的聚类分别发生在1997-2004年的南岭,铜陵,庆阳和芜湖,以及2005-2010年的贵池和芜湖。时空聚类分析显示了两个主要的聚类,即南岭(1999-2002)和贵池(2005-2008)。在研究期间,聚类区域明显缩小,而空间范围变得分散。高危地区从长江下游向上游转移,表明血吸虫病的控制重点应相应转移,应优先考虑血吸虫病高危地区的蜗牛栖息地。

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