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Preexisting comorbidities like COPD and smoking history increase SARS-CoV-2 risk, but the impact of homelessness and mental health remains underexplored. This study investigates the correlation between homelessness and COVID-19 hospitalizations in patients with COPD, mental illness, smoking habit, and age using national EHR data from All of Us, including 129,524 patients, 3,547 of whom were homeless. A statistical examination using logistic regression confirmed that homelessness increases hospitalization odds, with 19.83% of homeless COVID-19 patients hospitalized, compared to 15.08% in the general population. SHAP plots, an explainable AI method highlighted significant interactions between homelessness, COPD, smoking, gender, and mental disorders on COVID-19 hospitalizations.

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Assessing the Impact of Homelessness on COVID-19 Hospitalization Rates in Patients with Underlying Medical Conditions Through Explainable AI

  • 会议论文

  • 发表日期：

    2025年

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  • J. M. Imtinan Uddin,
  • Hayden Hall,
  • Jessica Long,
  • Connor Kimbrell,
  • Isabel Obrien,
  • Sudave Mendiratta,
  • Patrick Koo,
  • Yingfeng Wang,
  • Hong Qin

摘要

Preexisting comorbidities like COPD and smoking history increase SARS-CoV-2 risk, but the impact of homelessness and mental health remains underexplored. This study investigates the correlation between homelessness and COVID-19 hospitalizations in patients with COPD, mental illness, smoking habit, and age using national EHR data from All of Us, including 129,524 patients, 3,547 of whom were homeless. A statistical examination using logistic regression confirmed that homelessness increases hospitalization odds, with 19.83% of homeless COVID-19 patients hospitalized, compared to 15.08% in the general population. SHAP plots, an explainable AI method highlighted significant interactions between homelessness, COPD, smoking, gender, and mental disorders on COVID-19 hospitalizations.