Quantifying the impacts of COVID-19 on Sustainable Development Goals using machine learning models

• Published in: Fundamental research (Beijing) Vol. 4; no. 4; pp. 890 - 897
• Main Authors: Shuai, Chenyang, Zhao, Bu, Chen, Xi, Liu, Jianguo, Zheng, Chunmiao, Qu, Shen, Zou, Jian-Ping, Xu, Ming
• Format: Journal Article
• Language: English
• Published: Netherlands Elsevier B.V 01.07.2024; The Authors. Publishing Services by Elsevier B.V. on behalf of KeAi Communications Co. Ltd; KeAi Communications Co. Ltd
• Subjects: COVID-19; Global development; Machine learning; Sustainable development assessment; Sustainable development goals; COVID-19; Sustainable development goals; Sustainable development assessment; Global development; Machine learning

The COVID-19 pandemic has posed severe threats to global sustainable development. However, a comprehensive quantitative assessment of the impacts of COVID-19 on Sustainable Development Goals (SDGs) is still lacking. This research quantified the post-COVID-19 SDG progress from 2020 to 2024 using proj...