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

ABSTRACT: 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 projected GDP growth and population and machine learning models including support vector machine, random forest, and extreme gradient boosting. The results show that the overall SDG performance declined by 7.7% in 2020 at the global scale, with 12 socioeconomic SDG performance decreasing by 3.0%-22.3% and 4 environmental SDG performance increasing by 1.6%-9.2%. By 2024, the progress of 12 SDGs will lag behind for one to eight years compared to their pre-COVID-19 trajectories, while extra time will b

SUBMITTER: Shuai C 

PROVIDER: S-EPMC9252886 | biostudies-literature | 2024 Jul

REPOSITORIES: biostudies-literature