Literature DB >> 18533440

Using hydrologic conditions to forecast the risk of focal and epidemic arboviral transmission in peninsular Florida.

Jonathan F Day1, Jeffrey Shaman.   

Abstract

The accurate forecasting and tracking of arboviral transmission is becoming increasingly critical for the early recognition and management of arboviral epidemics. Meteorological factors, especially rainfall and temperature, drive arboviral epidemics, but monitoring rainfall and temperature alone is not predictive of increased levels of vector-borne disease transmission. In Florida, model simulations of water table depth (WTD) provide a measure of drought, and they have been shown to provide an accurate forecast of arboviral transmission. Here, we tracked WTD in two peninsular Florida regions where focal West Nile virus (family Flaviviridae, genus Flavivirus, WNV) transmission was reported during 2004 and 2005. We compared the resulting WTD profiles with historical WTD simulations for Indian River County (IRC), FL, where two peninsular Florida St. Louis encephalitis virus epidemics had their epicenters in 1977 and 1990. In both of the regions where focal WNV transmission was reported during 2004 and 2005, the local WTD profiles approached the 1977 and 1990 IRC WTD profiles; however, differences in the local temporal sequence of hydrologic conditions were observed. These differences seem in part to explain why the focal WNV transmission during 2004 and 2005 failed to reach epidemic levels in peninsular Florida. These findings suggest that hydrologic monitoring, specifically WTD, may help determine the geographic extent, timing, and intensity of WNV transmission. We speculate that a more precise sequence of drought and wetting, including a secondary summer drying and wetting cycle, as occurred in IRC during 1977 and 1990, may provide the optimal hydrologic conditions for the expansion of an arbovirus outbreak from focal to epidemic. This study documents that monitoring hydrologic conditions, along with vector, avian amplification host, and virus population data, increases our ability to track and predict significant levels of arboviral transmission.

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Year:  2008        PMID: 18533440     DOI: 10.1603/0022-2585(2008)45[458:uhctft]2.0.co;2

Source DB:  PubMed          Journal:  J Med Entomol        ISSN: 0022-2585            Impact factor:   2.278


  16 in total

1.  A risk index model for predicting eastern equine encephalitis virus transmission to horses in Florida.

Authors:  Patrick Vander Kelen; Joni A Downs; Thomas Unnasch; Lillian Stark
Journal:  Appl Geogr       Date:  2014-03-01

Review 2.  Climate change impacts on West Nile virus transmission in a global context.

Authors:  Shlomit Paz
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2015-04-05       Impact factor: 6.237

3.  Landscape-level spatial patterns of West Nile virus risk in the northern Great Plains.

Authors:  Ting-Wu Chuang; Christine W Hockett; Lon Kightlinger; Michael C Wimberly
Journal:  Am J Trop Med Hyg       Date:  2012-04       Impact factor: 2.345

4.  Local impact of temperature and precipitation on West Nile virus infection in Culex species mosquitoes in northeast Illinois, USA.

Authors:  Marilyn O Ruiz; Luis F Chaves; Gabriel L Hamer; Ting Sun; William M Brown; Edward D Walker; Linn Haramis; Tony L Goldberg; Uriel D Kitron
Journal:  Parasit Vectors       Date:  2010-03-19       Impact factor: 3.876

5.  Risk factors for human infection with West Nile Virus in Connecticut: a multi-year analysis.

Authors:  Ann Liu; Vivian Lee; Deron Galusha; Martin D Slade; Maria Diuk-Wasser; Theodore Andreadis; Matthew Scotch; Peter M Rabinowitz
Journal:  Int J Health Geogr       Date:  2009-11-27       Impact factor: 3.918

6.  Evaluation of attractive toxic sugar bait (ATSB)-Barrier for control of vector and nuisance mosquitoes and its effect on non-target organisms in sub-tropical environments in Florida.

Authors:  Whitney A Qualls; Günter C Müller; Edita E Revay; Sandra A Allan; Kristopher L Arheart; John C Beier; Michal L Smith; Jodi M Scott; Vasiliy D Kravchenko; Axel Hausmann; Zoya A Yefremova; Rui-De Xue
Journal:  Acta Trop       Date:  2013-12-19       Impact factor: 3.112

7.  Ecological niche modeling of mosquito vectors of West Nile virus in St. John's County, Florida, USA.

Authors:  Mohamed F Sallam; Rui-De Xue; Roberto M Pereira; Phillip G Koehler
Journal:  Parasit Vectors       Date:  2016-06-29       Impact factor: 3.876

8.  Spatial epidemiology of eastern equine encephalitis in Florida.

Authors:  Patrick T Vander Kelen; Joni A Downs; Lillian M Stark; Rebecca W Loraamm; James H Anderson; Thomas R Unnasch
Journal:  Int J Health Geogr       Date:  2012-11-05       Impact factor: 3.918

9.  Development and validation of a climate-based ensemble prediction model for West Nile Virus infection rates in Culex mosquitoes, Suffolk County, New York.

Authors:  Eliza Little; Scott R Campbell; Jeffrey Shaman
Journal:  Parasit Vectors       Date:  2016-08-09       Impact factor: 3.876

Review 10.  Research Contributing to Improvements in Controlling Florida's Mosquitoes and Mosquito-borne Diseases.

Authors:  Walter J Tabachnick
Journal:  Insects       Date:  2016-09-28       Impact factor: 2.769

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