Predicting neighborhood-level violence from features of the physical and social environment with machine learning

These findings underscore the fundamental importance of place in preventing and generating violence. Future studies should explore modifiable, highly important variables as potential points of intervention.

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Publication Details

Journal
Injury Epidemiology
Published
2025-11-10
DOI
https://doi.org/10.1186/s40621-025-00629-2
Primary Topic
Crime Patterns and Interventions
Type
article
Field-Weighted Citation Impact
0.00

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article

Predicting neighborhood-level violence from features of the physical and social environment with machine learning

Rose M. C. Kagawa, Colette Smirniotis, Veronica A. Pear
Injury Epidemiology
Crime Patterns and Interventions
article

Predicting neighborhood-level violence from features of the physical and social environment with machine learning

Rose M. C. Kagawa, Colette Smirniotis, Veronica A. Pear
article en

Abstract

These findings underscore the fundamental importance of place in preventing and generating violence. Future studies should explore modifiable, highly important variables as potential points of intervention.

Injury EpidemiologyVol. 12(1)
University of California System (US), University of California, Davis (US)
Centers for Disease Control and Prevention
Openalex Percentile: Top 57%
Crime Patterns and Interventions
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