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  • 标题:A geographical information system-based web model of arbovirus transmission risk in the continental United States of America
  • 本地全文:下载
  • 作者:Sarah K. Konrad ; Li Zou ; Scott N. Miller
  • 期刊名称:Geospatial Health
  • 印刷版ISSN:1970-7096
  • 出版年度:2012
  • 卷号:7
  • 期号:1
  • 页码:157-159
  • DOI:10.4081/gh.2012.114
  • 出版社:PAGEPress Publications
  • 摘要: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.
  • 关键词:West Nile virus; Rift Valley fever virus; transmission risk; early warning system; United States of America.
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