In the past three years, West Nile virus (WNV) has exploded across the US putting a major strain on the public health infrastructure. The need for trained specialists in vector-borne diseases has far exceeded the available resources. The research I propose is to use GIS technology incorporated with existing field collection and diagnostic testing for WNV in potential mosquito vectors to include using Bayesian hierarchical modeling to develop a means for predicting the spatial and temporal changes of a vector-borne virus as it is established in the naive host and vector population after a subsequent biological invasion or bioterrorist release event. By using this methodology, we believe that we can identify modifiable risk factors that can be used to combat a potential epidemic/epizootic or biological release event.

Agency
National Institute of Health (NIH)
Institute
National Institute of Allergy and Infectious Diseases (NIAID)
Type
Predoctoral Individual National Research Service Award (F31)
Project #
1F31AI058915-01A1
Application #
6831801
Study Section
Special Emphasis Panel (ZRG1-ONC-O (29))
Program Officer
Hernandez, Milton J
Project Start
2004-08-01
Project End
2009-07-31
Budget Start
2004-08-01
Budget End
2005-07-31
Support Year
1
Fiscal Year
2004
Total Cost
$28,842
Indirect Cost
Name
University of Oklahoma Health Sciences Center
Department
Biostatistics & Other Math Sci
Type
Schools of Public Health
DUNS #
878648294
City
Oklahoma City
State
OK
Country
United States
Zip Code
73117
Gilpen Jr, Johnnie L; Carabin, Helene; Regens, James L et al. (2009) Agriculture emergencies: a primer for first responders. Biosecur Bioterror 7:187-98