RS AND GIS USED TO IDENTIFY, MAP, AND PREDICT REGIONS OF RISK FOR LYME DISEASE
Durland Fish, PI, John S. Brownstein
Yale School of Medicine,
Department of Epidemiology and Public Health
This project is designed to aid decision-makers including pharmaceutical
companies and physicians about the geography of risk for Lyme disease in the
United States. Data at present include reported human cases, host and tick
distribution, and imagery to determine vegetation and land-use patterns.
Once digital layers are compiled in a GIS, a nation wide risk map will be
developed to identify counties at risk for Lyme disease. This map will be
posted on the web for public reference.
A county scale ecological model for continued surveillance is being developed
for monitoring of emerging infection sites and future public education efforts.
1 May 2000