Loading…
This event has ended. Visit the official site or create your own event on Sched.
Welcome to the 10th Anniversary of NEURISA Day!

Poster & Web App Contest - Vote here!

Board of Director Nominations for the 2020/2021 Term - Enter here!
Back To Schedule
Monday, September 16 • 1:25pm - 1:55pm
Methods and Applications of Overdose Analysis within the North-East Region

Sign up or log in to save this to your schedule, view media, leave feedback and see who's attending!

Feedback form is now closed.
Session 5

Methods and Applications of Overdose Analysis within the North-East Region
Massachusetts, like the rest of the country, is suffering through an opioid epidemic with overdoses touching every community. GIS remains a key reactionary edge against the epidemic and the overdoses accompanying them. The methods, applications, and data for the overall analysis of overdoses have changed over time. While the baseline density/hotspots methods may complete the task of the most basic analysis; the overall problem cannot be properly understood. Utilizing different modalities of analysis and dissimilar data sets can lead to a wide variety of spatial-temporal questions being answered. These questions include but are not limited to, what the average time of day for an overdose is, when is the average date of overdose, along with the corresponding spatial correlation, etc. Bringing in dissimilar data sets may lead to unseen relations like the relation between prison releases and overdoses. Finally, dissimilar datasets have other applied applications, including cross/inter-department data standardization and review. The methods and applications were applied to multiple ongoing projects within the Worcester Division of Public Health. One of the projects includes the mobile Harm Reduction van with funding from the Massachusetts Opiate Abuse Prevention Collaborative. The goals of these projects are not only to understand the overdoses but to reduce opioid abuse, while providing residents with the treatment and care they need in the most effective manner.
---Please note no sensitive (PHI) data will be directly presented.

Author: Noah Berkowitz

Speakers
NB

Noah Berkowitz

Clark University
Noah currently is completing his final year of his Masters in GIS student at Clark University. He is also a Graduate Research assistant at Clark Labs, working on geospatial cloud computing and deep learning applications in spatial analysis. Noah is also Geospatial Health Intern at... Read More →


Monday September 16, 2019 1:25pm - 1:55pm EDT
Rowley Room