SMU Data Science Review


This paper will provide an innovative approach to drug overdose prevention programs. Using data from Las Vegas emergency departments, this paper will analyze geospatial trends of drug overdoses. Leveraging the Cardiff Violence Prevention Model, the information is shared with local law enforcement agencies and decision makers to empower them to make evidence-based strategies. This paper highlights the efficacy of a data-driven model in addressing public health issues and underscoring its ability for even broader implementation in urban settings. Findings will suggest significant implications for policymaking, crime prevention, and public health initiatives, demonstrating a step towards a safer Las Vegas.

Creative Commons License

Creative Commons Attribution-Noncommercial 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial 4.0 License