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

Public (e)Health, Digital Epidemiology and Public Health Informatics (646) Machine Learning (1401) Vaccination and Immunization in the Digital Age (347) Outbreak and Pandemic Preparedness and Management (1679) Infectious Diseases (non-STD/STI) (1490) COVID-19 Vaccination (128) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1484) Innovative Methods in Public Health and Surveillance (307) Health Care Quality and Health Services Research (252) JMIR Theme Issue: COVID-19 Special Issue (2394)

Published on in Vol 23, No 11 (2021): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/33231, first published .
Predictive Modeling of Vaccination Uptake in US Counties: A Machine Learning–Based Approach

Predictive Modeling of Vaccination Uptake in US Counties: A Machine Learning–Based Approach

Predictive Modeling of Vaccination Uptake in US Counties: A Machine Learning–Based Approach

Authors of this article:

Queena Cheong1 Author Orcid Image ;   Martin Au-yeung2 Author Orcid Image ;   Stephanie Quon3 Author Orcid Image ;   Katsy Concepcion2 Author Orcid Image ;   Jude Dzevela Kong4 Author Orcid Image
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