A geographical information system-based web model of arbovirus transmission risk in the continental United States of America

  • Sarah K. Konrad | skonrad@uwyo.edu University of Wyoming, Ecosystem Science and Management, Dept. 3354 Laramie, WY, United States.
  • Li Zou University of Wyoming, Ecosystem Science and Management, Dept. 3354 Laramie, WY, United States.
  • Scott N. Miller University of Wyoming, Ecosystem Science and Management, Dept. 3354 Laramie, WY, United States.

Abstract

A degree-day (DD) model of West Nile virus capable of forecasting real-time transmission risk in the continental United States of America up to one week in advance using a 50-km grid is available online at https://sites. google.com/site/arbovirusmap/. Daily averages of historical risk based on temperatures for 1994-2003 are available at 10- km resolution. Transmission risk maps can be downloaded from 2010 to the present. The model can be adapted to work with any arbovirus for which the temperature-related parameters are known, e.g. Rift Valley fever virus. To more effectively assess virus establishment and transmission, the model incorporates “compound risk” maps and forecasts, which includes livestock density as a parameter.

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Published
2012-11-01
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Original Articles
Keywords:
West Nile virus, Rift Valley fever virus, transmission risk, early warning system, United States of America.
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How to Cite
Konrad, S. K., Zou, L., & Miller, S. N. (2012). A geographical information system-based web model of arbovirus transmission risk in the continental United States of America. Geospatial Health, 7(1), 157-159. https://doi.org/10.4081/gh.2012.114