Moncayo A C, Edman J D, Finn J T
Department of Entomology, University of Massachusetts, Amherst 01003, USA.
J Am Mosq Control Assoc. 2000 Mar;16(1):28-35.
Geographic information system (GIS) technology and remote sensing were used to identify landscape features determining risk of eastern equine encephalomyelitis virus (EEE) transmission as defined by the abundance of Culiseta melanura (the enzootic vector) and 6 putative epidemic-epizootic vectors in Massachusetts. Landsat Thematic Mapper data combined with aerial videography data were used to generate a map of landscape elements at epidemic-epizootic foci in southeastern Massachusetts. Geographic information system technology was used to determine the proportion of landscape elements surrounding 15 human and horse case sites where abundance data were collected for Culiseta melanura, Aedes canadensis, Aedes vexans, Culex salinarius, Coquillettidia perturbans, Anopheles quadrimaculatus, and Anopheles punctipennis. The relationships between vector abundance and landscape proportions were analyzed using stepwise linear regression. Stepwise regression indicated wetlands as the most important major class element, which accounted for up to 72.5% of the observed variation in the host-seeking populations of Ae. canadensis, Ae. vexans, and Cs. melanura. Moreover, stepwise linear regression demonstrated deciduous wetlands to be the specific wetland category contributing to the major class models. This approach of utilizing GIS technology and remote sensing in combination with street mapping can be employed to identify deciduous wetlands in neighborhoods at risk for EEE transmission and to plan more efficient schedules of pesticide applications targeting adults.
地理信息系统（GIS）技术和遥感技术被用于识别景观特征，这些景观特征决定了马萨诸塞州东部马脑脊髓炎病毒（EEE）传播的风险，其定义为黑尾库蚊（地方性传播媒介）和6种假定的流行-动物流行病传播媒介的丰度。陆地卫星专题绘图仪数据与航空摄像数据相结合，用于生成马萨诸塞州东南部流行-动物流行病疫源地的景观要素地图。地理信息系统技术被用于确定15个人类和马匹病例地点周围景观要素的比例，在这些地点收集了黑尾库蚊、加拿大伊蚊、骚扰伊蚊、盐泽库蚊、扰动柯蚊、四斑按蚊和点斑按蚊的丰度数据。使用逐步线性回归分析了媒介丰度与景观比例之间的关系。逐步回归表明湿地是最重要的主要类别要素，它占加拿大伊蚊、骚扰伊蚊和黑尾库蚊宿主寻找种群中观察到的变异的72.5%。此外，逐步线性回归表明落叶湿地是促成主要类别模型的特定湿地类别。这种将GIS技术和遥感与街道地图相结合的方法可用于识别有EEE传播风险社区中的落叶湿地，并规划针对成虫的更高效农药施用时间表。
