Using Integrated City Data and Machine Learning to Identify and Intervene Early on Housing-Related Public Health Problems

Conclusion: Given the strong connection between housing and health, reducing public health risk at more properties—without the need for additional inspection resources—represents an opportunity for significant public health gains. Integrated city data and machine learning can be used to describe the prevalence and location of housing-related health problems and make housing code enforcement more efficient, effective, and equitable in responding to public health threats.
Source: Journal of Public Health Management and Practice - Category: Health Management Tags: Research Full Report Source Type: research