Modeling the Spatial Distribution of Mosquito Vectors for West Nile Virus in Connecticut, USA

摘要: The risk of transmission West Nile virus (WNV) to humans is associated with the density infected vector mosquitoes in a given area. Current technology for estimating distribution and abundance primarily based on Centers Disease Control Prevention (CDC) light trap collections, which provide only point data. In order estimate mosquito areas not sampled by traps, we developed logistic regression models five species implicated as most likely vectors WNV Connecticut. Using data from 32 traps Fairfield County 2001 2003, were predict high low every 30 x m pixel County. They then tested an independent dataset 16 adjacent New Haven Environmental predictors extracted remotely sensed best predictive included non-forested Culex pipiens, surface water distance estuaries Cx. salinarius, grasslands/agriculture Aedes vexans seasonal difference normalized vegetation index palustrine habitats Culiseta melanura. No significant found restuans. sensitivity ranged 75% 87.5% specificity 93.8%. County, correctly classified 81.3% 75.0% 62.5% Ae. vexans, Cs. Continuous maps habitat suitability generated each both counties, could contribute future surveillance intervention activities.