Lyme disease (LD) is the most common vector-borne disease in the U.S., with most cases acquired from blacklegged ticks. These ticks are found throughout the eastern U.S., yet 93% of LD cases occur in ten states found in the Northeast and Upper Midwest. Various explanations have been proposed for the puzzling absence of LD in some areas where blacklegged ticks occur, but no agreement has been reached. The absence of an explanation contributes to uncertainty and confusion felt by citizens and healthcare providers faced with expanding tick populations in many parts of the U.S.

The research team represents five universities as well as national and international governmental agencies. They have a strong commitment to disseminating research findings to scientists, public health agencies, land managers, and the public. They will test three key hypotheses concerning LD distribution using field, laboratory, and computer modeling studies. Data on tick-host relationships, tick seasonal biology, and tick genetics will be collected from field sites in four widely-separated regions of the eastern U.S. Application of modeling and molecular tools will reveal the ecological and evolutionary processes responsible for the variation in LD risk in different regions of the U.S., as well as help predict how climate change could alter this risk. Furthermore, this improved understanding of factors determining the distribution and abundance of infected ticks will assist in human disease diagnosis and treatment, tick control measures, and public education on regional differences in the risk of LD and other tick-borne disease.

Agency
National Science Foundation (NSF)
Institute
Division of Environmental Biology (DEB)
Type
Standard Grant (Standard)
Application #
0914476
Program Officer
Samuel M. Scheiner
Project Start
Project End
Budget Start
2010-01-01
Budget End
2013-12-31
Support Year
Fiscal Year
2009
Total Cost
$715,395
Indirect Cost
Name
Michigan State University
Department
Type
DUNS #
City
East Lansing
State
MI
Country
United States
Zip Code
48824