首页> 外文期刊>Vector borne and zoonotic diseases >Remotely-sensed vegetation indices identify mosquito clusters of West Nile virus vectors in an urban landscape in the northeastern United States.
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Remotely-sensed vegetation indices identify mosquito clusters of West Nile virus vectors in an urban landscape in the northeastern United States.

机译:遥感植被指数确定了美国东北部城市景观中西尼罗河病毒载体的蚊子簇。

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Heterogeneity in urban landscapes can influence the effectiveness of mosquito-borne disease control. We used remotely sensed vegetation indices to discriminate among mosquito habitats within a densely populated urban environment in New Haven, CT. ASTER derived vegetation indices were identified for 16 sites where adult mosquitoes were trapped over the summer of 2004. Canonical correlation analysis showed a significant relationship between the environmental variables (normalized difference vegetation index, disease/water stress index and distance to water) and four local West Nile virus competent vectors (Cx. pipiens, Cx. restuans, Cx. salinarius, and Ae. vexans) (0.93, P = 0.03) explaining 86% of the variance in the environmental and mosquito measures. Sites were clustered based on these remotely sensed environmental variables. Three clusters were identified which provide insight into the distribution of West Nile virus vectors in an urban area. Identification of habitat differences of mosquitoes within the urban landscape has important implications for understanding West Nile virus transmission and for control of vector-competent mosquito species.
机译:城市景观的异质性会影响蚊媒疾病控制的有效性。我们使用遥感植被指数来区分康涅狄格州纽黑文市人口稠密的城市环境中的蚊子栖息地。 2004年夏季,在16个成年蚊子被诱捕的地点确定了ASTER衍生的植被指数。典范相关性分析显示环境变量(归一化差异植被指数,疾病/水分胁迫指数和距水的距离)与四个局部变量之间存在显着相关性。西尼罗河病毒感受态载体(Cx。pipiens,Cx。restuans,Cx。salinarius和Ae。vexans)(0.93,P = 0.03)解释了环境和蚊虫措施中86%的差异。基于这些遥感环境变量对站点进行聚类。确定了三个集群,可以深入了解市区内西尼罗河病毒载体的分布。识别城市景观内蚊子的栖息地差异,对于理解西尼罗河病毒的传播以及对具有媒介能力的蚊子的控制具有重要意义。

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