Understanding COVID-19 infection among people with intellectual and developmental disabilities using machine learning.

Journal: Disability and health journal
PMID:

Abstract

BACKGROUND: People with intellectual and developmental disabilities (IDD) were disproportionately affected by the COVID-19 pandemic. Predicting COVID-19 infection has been difficult.

Authors

  • Michael D Broda
    Virginia Commonwealth University School of Education, PO Box 842020, Richmond, VA, 23284, USA. Electronic address: mdbroda@vcu.edu.
  • Matthew Bogenschutz
    Virginia Commonwealth University, School of Social Work, PO Box 842027, Richmond, VA, 23284, USA. Electronic address: mdbogenschut@vcu.edu.
  • Parthenia Dinora
    Virginia Commonwealth University, Partnership for People with Disabilities, PO Box 843020, Richmond, VA, 23219, USA. Electronic address: padinora@vcu.edu.
  • Seb Prohn
    Virginia Commonwealth University, Partnership for People with Disabilities, PO Box 843020, Richmond, VA, 23219, USA. Electronic address: smprohn@vcu.edu.
  • Sarah Lineberry
    Virginia Commonwealth University, Partnership for People with Disabilities, PO Box 843020, Richmond, VA, 23219, USA. Electronic address: Lineberrys2@vcu.edu.
  • Angela West
    Virginia Commonwealth University, Partnership for People with Disabilities, PO Box 843020, Richmond, VA, 23219, USA. Electronic address: westa3@vcu.edu.