This paper is in the following e-collection/theme issue:

Research Letter (57) JMIR Theme Issue: COVID-19 Special Issue (2554) Vaccination and Immunization in the Digital Age (442) Machine Learning (2076) Artificial Intelligence (2129) Outbreak and Pandemic Preparedness and Management (1826)

Published on in Vol 24, No 7 (2022): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/37744, first published .
Using Machine Learning to Efficiently Vaccinate Homebound Patients Against COVID-19: A Real-time Immunization Campaign

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

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

Authors of this article:

Anish Kumar1 Author Orcid Image ;   Jennifer Ren1 Author Orcid Image ;   Katherine A Ornstein2, 3 Author Orcid Image ;   Peter M Gliatto4 Author Orcid Image
Article Authors Cited by (3) Tweetations (3) Metrics

Journals

  1. Kukafka R, Leung T, Eysenbach G. Brilliant Ideas Can Come in All Sizes: Research Letters. Journal of Medical Internet Research 2022;24(7):e41046 View
  2. Zang S, Zhang X, Xing Y, Chen J, Lin L, Hou Z. Applications of Social Media and Digital Technologies in COVID-19 Vaccination: Scoping Review. Journal of Medical Internet Research 2023;25:e40057 View
  3. Emiliano W, Dranka G, Mansano Schlosser T, Canteras F, Rubim Ferranda L, Telhada J. Optimizing home health care: A decision support system for districting and fleet management in urban health services. Environment, Development and Sustainability 2025 View