Keating Joseph, MacIntyre Kate, Mbogo Charles, Githeko Andrew, Regens James L, Swalm Chris, Ndenga Bryson, Steinberg Laura J, Kibe Lydiah, Githure John I, Beier John C
Department of international Heath and Development, School of Public Health and Tropical Medicine, Tulane University, New Orleans, Louisiana 70112-2699, USA.
Am J Trop Med Hyg. 2003 Mar;68(3):357-65.
This paper describes a geographic sampling strategy for ecologic studies and describes the relationship between human activities and anopheline larval ecology in urban areas. Kisumu and Malindi, Kenya were mapped using global positioning systems, and a geographic information system was used to overlay a measured grid, which served as a sampling frame. Grid cells were stratified and randomly selected according to levels of planning and drainage. A cross-sectional survey was conducted in April and May 2001 to collect entomologic and human ecologic data. Multivariate regression analysis was used to test the relationship between the abundance of potential larval habitats, and house density, socioeconomic status, and planning and drainage. In Kisumu, 98 aquatic habitats were identified, 65% of which were human made and 39% were positive for anopheline larvae. In Malindi, 91 aquatic habitats were identified, of which, 93% were human made and 65% were harboring anopheline larvae. The regression model explains 82% of the variance associated with the abundance of potential larval habitats in Kisumu. In Malindi, 59% of the variance was explained. As the number of households increased, the number of larval habitats increased correspondingly to a point. Beyond a critical threshold, the density of households appeared to suppress the development of aquatic habitats. The proportion of high-income households and the planning and drainage variables tested insignificant in both locations. The integration of social and biologic sciences will allow local mosquito and malaria control groups an opportunity to assess the risk of encountering potentially infectious mosquitoes in a given area, and concentrate resources accordingly.
本文描述了一种用于生态学研究的地理抽样策略,并阐述了城市地区人类活动与按蚊幼虫生态学之间的关系。利用全球定位系统对肯尼亚的基苏木和马林迪进行了地图绘制,并使用地理信息系统覆盖一个测量网格,该网格作为抽样框架。网格单元根据规划和排水水平进行分层并随机选取。于2001年4月和5月开展了一项横断面调查,以收集昆虫学和人类生态学数据。采用多元回归分析来检验潜在幼虫栖息地数量与房屋密度、社会经济地位以及规划和排水之间的关系。在基苏木,共识别出98个水生栖息地,其中65%是人造的,39%有按蚊幼虫。在马林迪,识别出91个水生栖息地,其中93%是人造的,65%有按蚊幼虫。回归模型解释了基苏木潜在幼虫栖息地数量相关方差的82%。在马林迪,该模型解释了59%的方差。随着家庭数量增加,幼虫栖息地数量相应增加至某一点。超过临界阈值后,家庭密度似乎会抑制水生栖息地的发育。高收入家庭比例以及规划和排水变量在两个地点的检验均无统计学意义。社会科学与生物科学的整合将使当地蚊虫及疟疾防控小组有机会评估在特定区域遇到潜在感染性蚊虫的风险,并据此集中资源。