This recent publication in Environmental International focuses on the impact of COVID-19 containment and closure policies over nitrogen dioxide in the troposphere from a global perspective. This paper explores the outcomes that COVID-19 mitigation efforts have had on the environment, both positive and negative. The NO2 emission changes are analyzed through qualitative and quantitative analyses cross several clusters at the global and regional levels. Spatiotemporal panel regression analyses were conducted to quantify the effects of several containment and closure policies in each cluster respectively.
Keywords: Nitrogen dioxide, COVID-19, machine learning, clustering, panel regression, policy analysis, spatiotemporal analysis
For further information and/or inquiries, email Ms. Y un Li at yli38@gmu.edu and/or Dr. Phil Yang at cyang3@gmu.edu.