Hierarchical Bayesian spatial models for alcohol availability, drug 'hot spots' and violent crime
2006

Alcohol Availability, Drug Hot Spots, and Violent Crime in Houston

Sample size: 439 publication Evidence: high

Author Information

Author(s): Zhu Li, Dennis M Gorman, Scott Horel

Primary Institution: Department of Epidemiology and Biostatistics, School of Rural Public Health, Texas A&M Health Science Center

Hypothesis

Is there a relationship between alcohol outlet densities, drug use, and violent crime in Houston?

Conclusion

The study found that illicit drug market activity is more strongly associated with violent crime than alcohol outlet density.

Supporting Evidence

  • Drug-law violation explained more variance in violent crime rates than alcohol outlet densities.
  • The relative risk for drug-law violation was 2.49 compared to 1.16 for alcohol outlet density.
  • Neighborhood sociostructural factors were also considered in the analysis.

Takeaway

This study shows that areas with more drug activity have more violence than areas with more alcohol outlets.

Methodology

The study used hierarchical Bayesian models to analyze data from 439 census tracts in Houston, focusing on alcohol outlet density, drug crime density, and violent crime data.

Potential Biases

Potential bias exists due to the reliance on a single data source for both drug and crime statistics.

Limitations

The study relied on police data for both drug activity and violent crime, which may not fully capture the true relationship.

Participant Demographics

The study focused on census tracts in Houston, Texas, with a specific emphasis on males aged 15 to 24 as a demographic factor.

Digital Object Identifier (DOI)

10.1186/1476-072X-5-54

Want to read the original?

Access the complete publication on the publisher's website

View Original Publication