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

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
  3. Choi J, Kim K, Rhee C. Change in exacerbation rate of COPD patients before and after COVID-19 infection. Scientific Reports 2025;15(1) View
  4. Manzini R, Battarra I, Lupi G, Pham H. An Investigation of the Impact of Anti-Epidemic Measures and Non-Pharmaceutical Interventions on Mitigating the Spread of the COVID-19 Pandemic. Applied Sciences 2025;15(3):1115 View