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Mapping Vulnerability in the Opioid Crisis

Attribute clustering was utilized to analyze three key variables identified as crucial factors in the ongoing opioid epidemic: overdose deaths per 100,000 people (2010-2020), opioid pills prescribed per 100 people (2012), and MAT (Medication-Assisted Treatment) providers (2022). These variables were processed through a KMeans algorithm, generating five clusters to assess risk levels in counties. Each cluster is depicted by a distinct color in the choropleth map, providing insight into the underlying data by clicking on individual counties or using the search function.
* A further explanation of the methodology can be found in the link below.


What I Used

  • Svelte
  • D3.js
  • Tailwind
  • Qgis
  • GeoDa
  • Data Sources: CDC, amfAR, SAMHSA, and The Washington Post Pill Database

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