medRxiv preprint doi: https://doi.org/10.1101/2020.05.13.20099978; this version posted May 16, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission. A Sparse Gaussian Network Model for Prediction the Growth Trend of COVID-19 Overseas Import Case: When can Hong Kong Lift the International Traffic Blockade? Rui Miaoa, Qi Dang a, Yong Liang a,b,c* a Faculty of Information Technology, Macau University of Science and Technology, Avenida Wai Long, Taipa, Macau, China. b State Key Laboratory of Quality Research in Chinese Medicines, Macau University of Science and Technology, Avenida Wai Long, Taipa, Macau, China c Guangdong-HongKong-Macao Joint Laboratory for Smart Discrete Manufacturing, Guangzhou 510006, China. *Corresponding to: Prof. Yong Liang, email:
[email protected]; Complete List of Authors: Rui Miao: Faculty of Information Technology, Macau University of Science and Technology, Avenida Wai Long, Taipa, Macau, China. Email:
[email protected] Qi Dang: Faculty of Information Technology, Macau University of Science and Technology, Avenida Wai Long, Taipa, Macau, China. Email:
[email protected] Yong Liang: Faculty of Information Technology, Macau University of Science and Technology, Avenida Wai Long, Taipa, Macau, China. Email:
[email protected], State Key Laboratory of Quality Research in Chinese Medicines, Macau University of Science and Technology, Avenida Wai Long, Taipa, Macau, China, Guangdong-HongKong-Macao Joint Laboratory for Smart Discrete Manufacturing, Guangzhou 510006, China. Email:
[email protected] A Sparse Gaussian Network Model for Prediction the Growth Trend of COVID-19 Overseas Import Case: When can Hong Kong Lift the International Traffic Blockade? Abstract The COVID-19 virus was first discovered from China.