Unmanned Aerial Systems and Public Health Image: http://www.123rf.com/stock-photo/multirotor.html

Who: Masters student in both GISc & Public Health Research Assistant Dengue Fever in Colombia Climate Change and health in Marion County Center for Aerial Unmanned Systems Imaging Indiana GeoHealth Collaborative Pierce Aerospace

What:

Where: FLOOD PROTECTION/ LEVEE IDENTIFICTION FAILED SEPTIC SYSTEMS VECTOR HABITAT MODELING

Why: Aedes aegypti and Aedes albopictus are known to spread; Malaria Over 1 million people die from mosquito-borne diseases every year, and hundreds of millions more experience pain and suffering from illnesses transmitted by mosquitoes. http://www.oxitec.com/health/mosquito-borne-diseases/ Aedes aegypti and Aedes albopictus are known to spread; Malaria Dengue Fever Zika Yellow Fever Chikungunya

How: Unmanned Aerial Systems allow for; Higher spatial resolution Faster / multiple passes Shorter temporal delay Low cost for high return Customizable

Example: “Geospatial Preparedness” in surveillance of emerging infectious diseases such as Dengue Fever BRT Risk Prediction Reported Cases Annualized boosted regression tree risk analysis of Dengue Fever compared to cases reported by each municipality using satellite-derived variables. Vector is the mosquito Aedes aegypti which prefers to breed in urban areas of standing water, such as collection tanks, flower pots, and used tires. Using unmanned systems would allow for an in-depth study of those highest risk municipalities to find near-household level breeding sites. Could be deployed and analyzed faster than waiting on and downloading satellite data. Customizable to the vector and the locality.

Thank you Jeffrey Ashby Graduate student, Masters in GISc program Graduate student, Masters in Public Health program Indiana University Purdue University Indianapolis http://www.jeffreyashby.com http://gotgis.wordpress.com Email: jlashby@iupui.edu