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CrossRef Text and Data Mining |
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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 |
Genomics Inform. 2021;19(1):e11 Published online March 25, 2021 DOI: https://doi.org/10.5808/gi.21028 |
Forecasting of the COVID-19 pandemic situation of Korea Diffusion Convolutional Recurrent Neural Network-Based Load Forecasting During COVID-19 Pandemic Situation Rearranging Mobilities and Immobilities and Place-Remaking During COVID-19: Governing the Pandemic Situation Through (Im)mobilities in South Korea Forecasting COVID-19 Pandemic: A Data-Driven Analysis Modeling and forecasting the COVID-19 pandemic with heterogeneous autoregression approaches: South Korea A Study on the Public’s Crisis Management Efficacy and Anxiety in a Pandemic Situation—Focusing on the COVID-19 Pandemic in South Korea Forecasting COVID-19 pandemic: Unknown unknowns and predictive monitoring Statistical machine learning forecasting simulation for discipline prediction and cost estimation of COVID-19 pandemic Resilience to the COVID-19 Pandemic: A Distributed Situation Awareness Perspective Making it normal for ‘new’ enrolments: Effect of institutional and pandemic influence on selecting an Engineering Institution under Covid-19 pandemic situation |