| Title |
AntiOD: A Smart City Initiative to Fight the Opioid Crisis |
| ID_Doc |
40520 |
| Authors |
Rebola, CB; Loaiza, SR |
| Title |
AntiOD: A Smart City Initiative to Fight the Opioid Crisis |
| Year |
2020 |
| Published |
|
| DOI |
10.1007/978-3-030-32520-6_24 |
| Abstract |
In the United States the opioid epidemic is on the rise with over 70.000 deaths by overdose in the last 20 years. Naloxone, also known as Narcan, is an effective antidote that can be administered to people who are suffering an overdose. Currently, the public relies on Quick Response Teams, which are overly saturated with requests. The country and counties are facing a drug-abuse problem of epidemic proportions, where it is imperative for disciplines like design to bring about new methods to save lives. The purpose of this paper is to describe AntiOD, a smart community-access naloxone program that provides tools, training, and awareness to empower bystanders to rescue victims of overdose. The project proposing a two-part solution: (1) empowering the public to take action through communication, training, and outreach; and (2) providing the public with access to the means. The goal is to help alleviate quick responses teams and empower the community to become first responders. |
| Author Keywords |
Smart cities; Opioid crisis; Access design; Social design |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
| EID |
WOS:000560947600024 |
| WoS Category |
Computer Science, Artificial Intelligence; Computer Science, Theory & Methods |
| Research Area |
Computer Science |
| PDF |
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