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Climatic Change

, Volume 75, Issue 4, pp 495–511 | Cite as

An Ensemble Seasonal Forecast of Human Cases of St. Louis Encephalitis in Florida Based on Seasonal Hydrologic Forecasts

  • Jeffrey ShamanEmail author
  • Jonathan F. Day
  • Marc Stieglitz
  • Stephen Zebiak
  • Mark Cane
Article

Abstract

We present a method for the ensemble seasonal prediction of human St. Louis encephalitis (SLE) incidence and SLE virus transmission in Florida. We combine empirical relationships between modeled land surface wetness and the incidence of human clinical cases of SLE and modeled land surface wetness and the occurrence of SLE virus transmission throughout south Florida with a previously developed method for generating ensemble, seasonal hydrologic forecasts. Retrospective seasonal forecasts of human SLE incidence are made for Indian River County, Florida, and forecast skill is demonstrated for 2–4 months. A sample seasonal forecast of human SLE incidence is presented. This study establishes the skill of a potential component of an operational SLE forecast system in south Florida, one that provides information well in advance of transmission and may enable early interventions that reduce transmission. Future development of this method and operational application of these forecasts are discussed. The methodology also will be applied to West Nile virus monitoring and forecasting.

Keywords

Encephalitis West Nile Virus Empirical Relationship Forecast System Human Case 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. Beven, K. J. and Kirkby, M. J.: 1979, ‘A physically based variable contributing area model of basin hydrology’, Hydrol. Sci. J. 24, 43–69.CrossRefGoogle Scholar
  2. Chamberlain, R. W., Sudia, W. D., Coleman, P. H., and Beadle, L. D.: 1964, ‘Vector studies in the St. Louis encephalitis epidemic, Tampa Bay Area, Florida’, Am. J. Trop. Med. Hyg. 13, 456–461.Google Scholar
  3. Day, J. F.: 1991, ‘A review of the 1990 St. Louis encephalitis virus epidemic in Indian River County, Florida’, Proc. N. J. Mosq. Control Assoc. 78, 32–39.Google Scholar
  4. Day, J. F. and Curtis, G. A.: 1999, ‘Blood feeding and oviposition by Culex nigripalpus (Diptera: Culicidae) before, during, and after a widespread St. Louis encephalitis virus epidemic in Florida’, J. Med. Entomol. 36, 176–181.Google Scholar
  5. Day, J. F. and Stark, L. M.: 1996, ‘Transmission patterns of St. Louis encephalitis and eastern equine encephalitis viruses in Florida: 1978–1993’, J. Med. Entomol. 33, 132–139.Google Scholar
  6. Day, J. F. and Stark, L. M.: 1999, ‘Avian serology in a St. Louis encephalitis epicenter before, during, and after a widespread epidemic in South Florida, USA’, J. Med. Entomol. 36, 614–624.Google Scholar
  7. DeGaetano, A., Eggleston, K., and Knapp, W.: 1995, ‘Daily solar radiation estimates for the northeastern United States using the northeast regional climate center and national renewable energy laboratory models’, Solar Energy 55, 185–194.CrossRefGoogle Scholar
  8. Dow, R. P., Coleman, P. H., Meadows, K. E., and Work, T. H.: 1964, ‘Isolation of St. Louis encephalitis viruses from mosquitoes in the Tampa Bay Area of Florida during the epidemic of 1962’, Am. J. Trop. Med. Hyg. 13, 462–474.Google Scholar
  9. Shaman, J., Stieglitz, M., Engel, V., Koster, R., and Stark, C.: 2002a, ‘Representation of stormflow and a more responsive water table in a TOPMODEL-based hydrology model’, Water Res. 38, 1156, doi:10.1029/2001WR000636.Google Scholar
  10. Shaman, J., Day, J. F., and Stieglitz, M.: 2002b, ‘Drought-induced amplification of Saint Louis encephalitis virus, Florida’, Emerg. Infect. Dis. 8, 575–580.CrossRefGoogle Scholar
  11. Shaman, J., Stieglitz, M., Zebiak, S., and Cane, M.: 2003a, ‘A local forecast of land surface wetness conditions derived from seasonal climate predictions’, J. Hydrometeorology 4, 611–626.CrossRefGoogle Scholar
  12. Shaman, J., Day, J. F., and Stieglitz, M.: 2003b, ‘St. Louis encephalitis virus in wild birds during the 1990 South Florida epidemic: The importance of drought, wetting conditions, and the emergence of Culex nigripalpus to arboviral amplification and transmission’, J. Med. Entomol. 40, 547– 554.CrossRefGoogle Scholar
  13. Shaman, J., Day, J., and Stieglitz, M.: 2004, ‘The association of drought, wetting and human cases of St. Louis encephalitis virus in South-Central Florida’, Am. J. Trop. Med. Hyg. 71, 251–261.Google Scholar
  14. Shaman, J., Day, J., and Stieglitz, M.: 2005, ‘Drought-induced amplification and epidemic transmission of West Nile virus in South Florida’, J. Med. Entomol. 42, 136–141.Google Scholar
  15. Shroyer, D. A.: 1991, ‘The 1990 Florida epidemic of St. Louis encephalitis: Virus infection rates in Culex nigripalpus’, J. Fla. Mosq. Control Assoc. 62, 69–71.Google Scholar
  16. Stieglitz, M., Rind, D., Famiglietti, J., and Rosenzweig, C.: 1997, ‘An efficient approach to modeling the topographic control of surface hydrology for regional and global climate modeling’, J. Climate 10, 118–137.CrossRefGoogle Scholar
  17. Wilks, D. S.: 1995, Statistical Methods in the Atmospheric Sciences, San Diego, Academic Press, pp. 467.Google Scholar

Copyright information

© Springer Science + Business Media, Inc. 2006

Authors and Affiliations

  • Jeffrey Shaman
    • 1
    Email author
  • Jonathan F. Day
    • 2
  • Marc Stieglitz
    • 3
  • Stephen Zebiak
    • 4
  • Mark Cane
    • 5
  1. 1.College of Oceanic and Atmospheric SciencesOregon State UniversityCorvallis
  2. 2.Florida Medical Entomology Laboratory, Institute of Food and Agricultural SciencesUniversity of Florida
  3. 3.School of Civil and Environmental Engineering and School of Earth and Atmospheric SciencesGeorgia Institute of Technology
  4. 4.International Research Institute for Climate Prediction
  5. 5.Department of Earth and Environmental SciencesColumbia UniversityColumbia

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