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Research Project:
USE OF GEOGRAPHIC INFORMATION SYSTEM (GIS) METHODS TO UNDERSTAND SPATIAL PATTERNS OF MOSQUITO VECTORS OF WEST NILE VIRUS
Location: Laramie, Wyoming
Title: Spatially Explicit West Nile Virus Risk Modeling in Santa Clara County, CA
Authors
| Konrad, Sarah - UNIVERSITY OF WYOMING | | Miller, Scott - UNIVERSITY OF WYOMING | |
Reeves, Will
| | Tietze, Noor - SANTA CLARA COUNTY VECTOR |
Submitted to: Meeting Abstract
Publication Type:
Abstract
Publication Acceptance Date: September 14, 2008
Publication Date: October 1, 2008
Citation: Konrad, S.K., Miller, S.N., Reeves, W.K., Tietze, N.S. 2008. Spatially Explicit West Nile Virus Risk Modeling in Santa Clara County, CA. Meeting Abstract. 39th Annual meeting of the Society for Vector Ecology (SOVE). Fort Collins, CO. Sept. 28-Oct. 2, 2008.
Technical Abstract: A geographic information systems model designed to identify regions of West Nile virus (WNV) transmission risk was tested and calibrated with data collected in Santa Clara County, California. American Crows that died from WNV infection in 2005, provided spatial and temporal ground truth. When the model was run with parameters based on Culex tarsalis infected with the NY99 genotype, it underestimated WNV occurrence in Santa Clara Co. Parameter calibration was performed to account for the replacement of NY99 with the WN02 genotype. The resultant calibrated model performed well in Santa Clara Co. in 2006, and similar applications may help identify WNV risk in other regions.
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Last Modified: 11/05/2008
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