Estimates of behavioral and physical health conditions among unsheltered populations are often used to guide policy initiatives for healthcare and housing, yet robust, disease-specific prevalence estimates remain limited. This study addresses this gap by leveraging multiple data sources to generate more reliable estimates of specific disease conditions for unsheltered adults.
The findings underscore that housing and health care are complementary components of care and support, integrating field-based medical services with permanent housing investments.