Hotspotter (for CDC)

Hotspot generator and forecast tool

Las Vegas

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Technologies Used

PostgreSQL
Swift
MapKit

Project Team

krishnangopalan
Developer Designer
Poomalai Ganesan
Developer

This team is looking for

Product Manager Investor
REQUEST TO JOIN

About

We believe that the first step to combatting the Opioid overdose issue is by making the most sense of the first response incident information. In our earnest effort to do this, we have created a tool called 'Hotspotter' that will take the State and Local Incident data set and convert into a 'hotspot' map based on the geolocation information for each overdose incidents. This hotspot map can be used to zoom in and drill down into States, Cities, Counties and Neighborhoods to get an accurate information of which areas are most affected. Based on this information, Hotspotter will also forecast the top 5 potential at-risk neighborhoods for any area on the map. This information, we believe, will empower the local and state departments to not just ensure there is sufficient availability of all prescription overdose reversers but also plan for more community engagement and to drive the Opioid Epidemic Practical Toolkit for the forecasted areas. We have used the Cincinnati Fire Service First Response Data set as a starting point for this prototype but we strongly believe this concept can be extended for all other locations as well. Datasets used for hotspot generation: https://hhs-opioid-codeathon.data.socrata.com/State-Local-Datasets/Cincinnati-Fire-Incidents-CAD-/4qan-d7u4 https://data.cincinnati-oh.gov/Safer-Streets/Cincinnati-Fire-Incidents-CAD-including-EMS-ALS-BL/vnsz-a3wp Track addressing: Usage Track and Treatment Track

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