In the article "Drones Could Transform Emergency Response to Opioid Overdoses," GW Today detailed the findings of professor of decision sciences and electrical and computer engineering Miguel Lejeune's new study, “Drone-Delivery Network for Opioid Overdose: Nonlinear Integer Queueing-Optimization Models and Methods." The study explores using drones to reduce response times and increase the chances of survival during overdoses.
Here is an excerpt from the article: "To determine whether drones could respond quicker in cases of overdoses, Lejeune analyzed overdose data spanning two and a half years between 2017 and 2019 in the city of Virginia Beach, Virginia. He input that data into a prescriptive analytics mathematical model to determine what the response time would have been if drones were used. Lejeune used queuing-based optimization models in the study."
Read the full article on GW Today.