title: A geographical information system-based web model of arbovirus transmission risk in the continental United States of America.
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 10km 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.
authors.affiliation: University of Wyoming, Ecosystem Science and Management, Dept. 3354 Laramie, WY 82071, USA. skonrad@uwyo.edu
authors.forename: Sarah K
authors.initials: SK
authors.lastname: Konrad
authors.forename: Li
authors.initials: L
authors.lastname: Zou
authors.forename: Scott N
authors.initials: SN
authors.lastname: Miller
mesh_terms: D000818:Animals; D001102:Arbovirus Infections / Q000453:epidemiology / Q000635:transmission; D001103:Arboviruses / Q000472:pathogenicity; D001179:Arthropod Vectors / Q000821:virology; D005544:Forecasting / Q000379:methods*; D040362:Geographic Information Systems / Q000295:instrumentation*; D006801:Humans; D020407:Internet; D008954:Models, Biological; D012295:Rift Valley Fever / Q000453:epidemiology / Q000635:transmission*; D012296:Rift Valley fever virus / Q000472:pathogenicity; D018570:Risk Assessment / Q000379:methods; D013696:Temperature; D014481:United States; D014901:West Nile Fever / Q000453:epidemiology / Q000635:transmission*; D014902:West Nile virus / Q000472:pathogenicity