Spatial patterns of urinary schistosomiasis infection in a highly endemic area of coastal Kenya
Spatial patterns of urinary schistosomiasis infection in a highly endemic area of coastal Kenya
复制标题
DOI：
10.4269/ajtmh.2004.70.443
复制
发表时间：
2004-04-01
影响因子：
3.3
通讯作者：
Kitron, U
中科院分区：
文献类型：
--
作者：
Clennon, JA;King, CH;Kitron, U
尿路血吸虫病仍然是肯尼亚南部沿海地区疾病负担的主要来源。选择性识别传播热点为更有效的、高度集中的蜗牛控制和人类化疗提供了潜力，以减少血血吸虫的传播。在本研究中，使用地理信息系统将流行村庄和邻近家庭的人口统计、寄生虫学和家庭位置数据与蜗牛收集/水接触点的生物、非生物和位置数据整合在一起。使用全球空间统计数据来检测家庭层面人类感染的区域聚集趋势。然后应用局部空间统计来检测特定的家庭感染聚集性，并作为焦点空间统计来评估假定传播点周围的感染聚集性。高感染强度明显聚集在钉螺大量脱落的水接触点附近。当考虑年龄时，发现不同年龄组的聚类在不同距离上显著。
Urinary schistosomiasis remains a major contributor to the disease burden along the southern coast of Kenya. Selective identification of transmission hot spots offers the potential for more effective, highly-focal snail control and human chemotherapy to reduce Schistosoma haematobium transmission. In the present study, a geographic information system was used to integrate demographic, parasitologic, and household location data for an endemic village and neighbouring households with the biotic, abiotic, and location data for snail collection/water contact sites. A global spatial statistic was used to detect area-wide trends of clustering for human infection at the household level. Local spatial statistics were then applied to detect specific household clusters of infection, and, as a focal spatial statistic, to evaluate clustering of infection around a Putative transmission site. High infection intensities were clustered significantly around a water contact site with high numbers of snails shedding S. haematobium cercariae. When age was considered, clustering was found to be significant at different distances for different age groups.