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

Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1482) JMIR Theme Issue: COVID-19 Special Issue (2391) Outbreak and Pandemic Preparedness and Management (1675) Infectious Diseases (non-STD/STI) (1485) Public Health Policy (49) Hygiene and Infection Prevention (298) Early Results from COVID-19 Studies (278)

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

Catherine Apio   1 * , BSc, MSc ;   Kyulhee Han   1 * , BSc ;   Doeun Lee   1 , BSc, MSc ;   Bogyeom Lee   2 , BSc ;   Taesung Park   3 , Prof Dr, PhD

1 Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul, Republic of Korea

2 Ross School of Business, University of Michigan-Ann Arbor, Ann Arbor, MI, United States

3 Department of Statisitcs, Seoul National University, Seoul, Republic of Korea

*these authors contributed equally

Corresponding Author:

  • Taesung Park, Prof Dr, PhD
  • Department of Statisitcs
  • Seoul National University
  • Building 25, Room 310
  • Gwanak-gu
  • Seoul, 08826
  • Republic of Korea
  • Phone: 82 010-5557-8924
  • Fax: 82 2-883-6144
  • Email: tspark@stats.snu.ac.kr