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Seasonal Forecast of St. Louis Encephalitis Virus Transmission, Florida

Disease transmission forecasts can help minimize human and domestic animal health risks by indicating where disease control and prevention efforts should be focused. For disease systems in which weather-related variables affect pathogen proliferation, dispersal, or transmission, the potential for di...

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Detalles Bibliográficos
Autores principales: Shaman, Jeffrey, Day, Jonathan F., Stieglitz, Marc, Zebiak, Stephen, Cane, Mark
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Centers for Disease Control and Prevention 2004
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3323226/
https://www.ncbi.nlm.nih.gov/pubmed/15200812
http://dx.doi.org/10.3201/eid1005.030246
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author Shaman, Jeffrey
Day, Jonathan F.
Stieglitz, Marc
Zebiak, Stephen
Cane, Mark
author_facet Shaman, Jeffrey
Day, Jonathan F.
Stieglitz, Marc
Zebiak, Stephen
Cane, Mark
author_sort Shaman, Jeffrey
collection PubMed
description Disease transmission forecasts can help minimize human and domestic animal health risks by indicating where disease control and prevention efforts should be focused. For disease systems in which weather-related variables affect pathogen proliferation, dispersal, or transmission, the potential for disease forecasting exists. We present a seasonal forecast of St. Louis encephalitis virus transmission in Indian River County, Florida. We derive an empirical relationship between modeled land surface wetness and levels of SLEV transmission in humans. We then use these data to forecast SLEV transmission with a seasonal lead. Forecast skill is demonstrated, and a real-time seasonal forecast of epidemic SLEV transmission is presented. This study demonstrates how weather and climate forecast skill verification analyses may be applied to test the predictability of an empirical disease forecast model.
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spelling pubmed-33232262012-04-17 Seasonal Forecast of St. Louis Encephalitis Virus Transmission, Florida Shaman, Jeffrey Day, Jonathan F. Stieglitz, Marc Zebiak, Stephen Cane, Mark Emerg Infect Dis Research Disease transmission forecasts can help minimize human and domestic animal health risks by indicating where disease control and prevention efforts should be focused. For disease systems in which weather-related variables affect pathogen proliferation, dispersal, or transmission, the potential for disease forecasting exists. We present a seasonal forecast of St. Louis encephalitis virus transmission in Indian River County, Florida. We derive an empirical relationship between modeled land surface wetness and levels of SLEV transmission in humans. We then use these data to forecast SLEV transmission with a seasonal lead. Forecast skill is demonstrated, and a real-time seasonal forecast of epidemic SLEV transmission is presented. This study demonstrates how weather and climate forecast skill verification analyses may be applied to test the predictability of an empirical disease forecast model. Centers for Disease Control and Prevention 2004-05 /pmc/articles/PMC3323226/ /pubmed/15200812 http://dx.doi.org/10.3201/eid1005.030246 Text en https://creativecommons.org/licenses/by/4.0/This is a publication of the U.S. Government. This publication is in the public domain and is therefore without copyright. All text from this work may be reprinted freely. Use of these materials should be properly cited.
spellingShingle Research
Shaman, Jeffrey
Day, Jonathan F.
Stieglitz, Marc
Zebiak, Stephen
Cane, Mark
Seasonal Forecast of St. Louis Encephalitis Virus Transmission, Florida
title Seasonal Forecast of St. Louis Encephalitis Virus Transmission, Florida
title_full Seasonal Forecast of St. Louis Encephalitis Virus Transmission, Florida
title_fullStr Seasonal Forecast of St. Louis Encephalitis Virus Transmission, Florida
title_full_unstemmed Seasonal Forecast of St. Louis Encephalitis Virus Transmission, Florida
title_short Seasonal Forecast of St. Louis Encephalitis Virus Transmission, Florida
title_sort seasonal forecast of st. louis encephalitis virus transmission, florida
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3323226/
https://www.ncbi.nlm.nih.gov/pubmed/15200812
http://dx.doi.org/10.3201/eid1005.030246
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