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Remote Sensing Evidence For Significant Variations In The Global Gross Domestic Product During The Covid-19 Epidemic, Bin Guo, Wencai Zhang, Lin Pei, Xiaowei Zhu, Pingping Luo, Weili Duan

Mechanical and Materials Engineering Faculty Publications and Presentations

Coronavirus disease 2019 (COVID-19) has been spreading rapidly and is still threatening human health currently. A series of measures for restraining epidemic spreading has been adopted throughout the world, which seriously impacted the gross domestic product (GDP) globally. However, details of the changes in the GDP and its spatial heterogeneity characteristics on a fine scale worldwide during the pandemic are still uncertain. We designed a novel scheme to simulate a 0.1° × 0.1° resolution grid global GDP map during the COVID-19 pandemic. Simulated nighttime-light remotely sensed data (SNTL) was forecasted via a GM(1, 1) model under the assumption that there …