Predictive Analytics in Public Health: Developing AI Strategies to Combat High-Temperature Impacts on Violence and Overdoses in Las Vegas

Authors

David Camacho, Southern Methodist UniversityFollow
Stephanie Duarte, Southern Methodist UniversityFollow
Kosi Okeke, Southern Methodist UniversityFollow
Chris Papesh, University of Nevada, Las VegasFollow
Jacquelyn Cheun-Jensen, Southern Methodist UniversityFollow

Abstract

Public violence and overdoses are key issues that Nevada agencies aim to address in the Las Vegas Metropolitan Area. A proven and effective strategy is via the implementation of a Cardiff Violence Prevention Model. This model provides a way for communities to gain a clearer picture about where violence is occurring by combining and mapping both hospital and police data on violence. In an effort to support this model, the exploration and implementation of AI models to predict the impacts of high temperatures on key public data and outcomes based upon historical data will be applied.

Recommended Citation

Camacho, David; Duarte, Stephanie; Okeke, Kosi; Papesh, Chris; and Cheun-Jensen, Jacquelyn (2025) "Predictive Analytics in Public Health: Developing AI Strategies to Combat High-Temperature Impacts on Violence and Overdoses in Las Vegas," SMU Data Science Review: Vol. 9: No. 2, Article 5.
Available at: https://scholar.smu.edu/datasciencereview/vol9/iss2/5

Creative Commons License

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