Using Machine Learning to Efficiently Vaccinate Homebound Patients Against COVID-19: A Real-time Immunization Campaign

Anish Kumar; Jennifer Ren; Katherine A Ornstein; Peter M Gliatto

doi:10.2196/37744

Using Machine Learning to Efficiently Vaccinate Homebound Patients Against COVID-19: A Real-time Immunization Campaign

J Med Internet Res. 2022 Jul 12;24(7):e37744. doi: 10.2196/37744.

Authors

Anish Kumar^#¹, Jennifer Ren^#¹, Katherine A Ornstein^{2

3}, Peter M Gliatto⁴

Affiliations

¹ Icahn School of Medicine at Mount Sinai, New York, NY, United States.
² Department of Geriatrics and Palliative Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
³ Institute for Care Innovations at Home, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
⁴ Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, United States.

^# Contributed equally.

PMID: 35679053
PMCID: PMC9328783
DOI: 10.2196/37744

No abstract available

Keywords: COVID-19; clustering algorithm; covid; digital surveillance; electronic health record integration; geographic cluster; geospatial; home care; logistic operation; machine learning; patient data; public health; vaccination; vaccine.

MeSH terms

COVID-19* / prevention & control
Humans
Immunization
Machine Learning
Vaccination