Discovering optimal strategies for mitigating COVID-19 spread using machine learning: experience from Asia

• Main Authors: Pan, Yue, Zhang, Limao, Yan, Zhenzhen, Lwin, May Oo, Skibniewski, Miroslaw J.
• Other Authors: School of Civil and Environmental Engineering
• Format: Article
• Language: English
• Published: 2022
• Subjects: Engineering::Civil engineering; COVID-19; Random Forest Regression
• Online Access: https://hdl.handle.net/10356/159901
• Institution: Nanyang Technological University

To inform data-driven decisions in fighting the global pandemic caused by COVID-19, this research develops a spatiotemporal analysis framework under the combination of an ensemble model (random forest regression) and a multi-objective optimization algorithm (NSGA-II). It has been verified for four A...