Published on in Vol 7, No 6 (2021): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/26784, first published .
Risk Assessment of Importation and Local Transmission of COVID-19 in South Korea: Statistical Modeling Approach

Risk Assessment of Importation and Local Transmission of COVID-19 in South Korea: Statistical Modeling Approach

Risk Assessment of Importation and Local Transmission of COVID-19 in South Korea: Statistical Modeling Approach

Authors of this article:

Hyojung Lee1 Author Orcid Image ;   Yeahwon Kim2 Author Orcid Image ;   Eunsu Kim2 Author Orcid Image ;   Sunmi ‍Lee2 Author Orcid Image

Journals

  1. Chen H, Shi L, Zhang Y, Wang X, Sun G. Epidemiological Characteristics and Core Containment Measures of Imported COVID-19 Cases from Abroad in Early Phase in Guangdong, China. Risk Management and Healthcare Policy 2021;Volume 14:3955 View
  2. Kim S, Kim M, Lee S, Lee Y. Discovering spatiotemporal patterns of COVID-19 pandemic in South Korea. Scientific Reports 2021;11(1) View
  3. Wu C, Chou Y, Lin F, Hsieh C, Wu D, Peng C, Yu C. Epidemiological features of domestic and imported cases with COVID-19 between January 2020 and March 2021 in Taiwan. Medicine 2021;100(39):e27360 View
  4. Kim H, Kim E. Factors Associated with Mental Health among International Students during the COVID-19 Pandemic in South Korea. International Journal of Environmental Research and Public Health 2021;18(21):11381 View
  5. Lee H, Kim S, Jeong M, Choi E, Ahn H, Lee J. Mathematical Modeling of COVID-19 Transmission and Intervention in South Korea: A Review of Literature. Yonsei Medical Journal 2023;64(1):1 View
  6. Hohlfeld A, Abdullahi L, Abou-Setta A, Engel M. International air travel-related control measures to contain the Covid-19 pandemic: A companion review to a Cochrane rapid review. New Microbes and New Infections 2022;49-50:101054 View
  7. Necesito I, Velasco J, Jung J, Bae Y, Yoo Y, Kim S, Kim H. Predicting COVID-19 Cases in South Korea Using Stringency and Niño Sea Surface Temperature Indices. Frontiers in Public Health 2022;10 View
  8. Kim I, Kim H. Factors Associated with Job Stress and Their Effects on Mental Health among Nurses in COVID-19 Wards in Four Hospitals in Korea. Healthcare 2023;11(10):1500 View
  9. Hong J, Park A, Radnaabaatar M, Kim E, Kim D, Jung J. The Impact of Entry Restrictions on the Spread of Severe Acute Respiratory Syndrome Coronavirus Variants Between 2021 and 2022. Journal of Korean Medical Science 2023;38(28) View
  10. Cho G, Park J, Choi Y, Ahn H, Lee H. Detection of COVID-19 epidemic outbreak using machine learning. Frontiers in Public Health 2023;11 View
  11. Arnold R, Binny R, Lumley T, Lustig A, Parry M, Plank M. Estimating the risk of SARS-CoV-2 infection in New Zealand border arrivals. BMC Global and Public Health 2024;2(1) View
  12. Ahn H, Lee H. Predicting the transmission trends of COVID-19: an interpretable machine learning approach based on daily, death, and imported cases. Mathematical Biosciences and Engineering 2024;21(5):6150 View