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

Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1517) JMIR Theme Issue: COVID-19 Special Issue (2452) Outbreak and Pandemic Preparedness and Management (1727) Infectious Diseases (non-STD/STI) (1575) Public Health Policy (62) Hygiene and Infection Prevention (317) Early Results from COVID-19 Studies (299)

Published on in Vol 10 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/47099, first published .
Development of New Stringency Indices for Nonpharmacological Social Distancing Policies Implemented in Korea During the COVID-19 Pandemic: Random Forest Approach

Development of New Stringency Indices for Nonpharmacological Social Distancing Policies Implemented in Korea During the COVID-19 Pandemic: Random Forest Approach

Development of New Stringency Indices for Nonpharmacological Social Distancing Policies Implemented in Korea During the COVID-19 Pandemic: Random Forest Approach

Authors of this article:

Catherine Apio1 Author Orcid Image ;   Kyulhee Han1 Author Orcid Image ;   Doeun Lee1 Author Orcid Image ;   Bogyeom Lee2 Author Orcid Image ;   Taesung Park3 Author Orcid Image
Article Authors Cited by (2) Tweetations (3) Metrics

Journals

  1. Song H, Han K, Park J, Liu Z, Goo T, Krishnamurthy A, Park T. K-Track-Covid: interactive web-based dashboard for analyzing geographical and temporal spread of COVID-19 in South Korea. Frontiers in Public Health 2024;12 View
  2. Han K, Lee B, Lee D, Heo G, Oh J, Lee S, Apio C, Park T. Forecasting the spread of COVID-19 based on policy, vaccination, and Omicron data. Scientific Reports 2024;14(1) View