Authors: Fikriyah Winata*, University of Illinois at Urbana-Champaign
Topics: Medical and Health Geography, Spatial Analysis & Modeling
Keywords: Ixodes scapularis, tick, Lyme disease, Illinois
Session Type: Poster
Start / End Time: 3:05 PM / 4:45 PM
Room: Lincoln 2, Marriott, Exhibition Level
Presentation File: No File Uploaded
This poster analyzes the current status of human risk of Lyme disease in Illinois based on spatial analysis and mapping of tick report data. Lyme disease is the most common tick-borne disease in the United States and is transmitted by the Ixodes scapularis (Say) or deer/blacklegged ticks. In Illinois, Lyme disease cases increased significantly from 2000 to 2017. Calculating Lyme disease incidence per 100,000 population by county and overlaying the locations of historical tick occurrence, enables us to better understand and predict human risk of Lyme disease. Lyme disease case data provided by the Centers for Disease Control and Prevention (CDC), demographic data obtained from the U.S. Census Bureau, and historical tick occurrence data for I. scapularis were gathered from the Midwest Center of Excellence for Vector-Borne Disease (MCE-VBD) at the University of Illinois at Urbana-Champaign. GIS overlays and spatial analysis methods were used to describe the uneven geography of risk based on these data sets. The risk maps show that counties along the borders of Wisconsin and Iowa consistently have high risk of Lyme disease, forming hotspots of high risk. Counties in the southeast part of Illinois show low risk of Lyme disease, although I. scapularis ticks exist. Although northeastern Illinois has a high occurrence of ticks, Lyme disease risk is low in this region. This preliminary result is a starting point of my dissertation project which will develop an I. scapularis tick habitat suitability model to better estimate human risk of Lyme disease in Illinois.