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| Forecasting of the COVID-19 pandemic situation of Korea |
| Taewan Goo, Catherine Apio, Gyujin Heo, Doeun Lee, Jong Hyeok Lee, Jisun Lim, Kyulhee Han, Taesung Park |
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Genomics Inform. 2021;19(1):e11 Published online March 25, 2021 DOI: https://doi.org/10.5808/gi.21028 |
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Forecasting of the COVID-19 pandemic situation of Korea Genomics & Informatics. 2021;19(1):e11  Diffusion Convolutional Recurrent Neural Network-Based Load Forecasting During COVID-19 Pandemic Situation Revue d'Intelligence Artificielle. 2022;36(5):689-695 Rearranging Mobilities and Immobilities and Place-Remaking During COVID-19: Governing the Pandemic Situation Through (Im)mobilities in South Korea COVID-19 and a World of Ad Hoc Geographies. 2022;1063-1077 Forecasting COVID-19 Pandemic: A Data-Driven Analysis . 2020; Modeling and forecasting the COVID-19 pandemic with heterogeneous autoregression approaches: South Korea Results in Physics. 2021;29:104631 A Study on the Public’s Crisis Management Efficacy and Anxiety in a Pandemic Situation—Focusing on the COVID-19 Pandemic in South Korea Sustainability. 2021;13(15):8393 Forecasting COVID-19 pandemic: Unknown unknowns and predictive monitoring Technological Forecasting and Social Change. 2021;166:120602 Statistical machine learning forecasting simulation for discipline prediction and cost estimation of COVID-19 pandemic Data Science for COVID-19. 2021;147-173 Resilience to the COVID-19 Pandemic: A Distributed Situation Awareness Perspective 2020 Resilience Week (RWS). 2020; Making it normal for ‘new’ enrolments: Effect of institutional and pandemic influence on selecting an Engineering Institution under Covid-19 pandemic situation . 2021; |
