Spatiotemporal Analysis of COVID-19 Impacts on Human & Environment Activities

Authors: Meimei Lin*, Georgia Southern University
Topics: Human-Environment Geography, Spatial Analysis & Modeling, Environmental Science
Keywords: COVID-19, night light radiance, air quality, spatiotemporal analysis
Session Type: Virtual Paper
Presentation File: No File Uploaded


The 2019 coronavirus disease (COVID-19) pandemic has drastically affected global economies, environments, and people’s daily lives since its first outbreak in Wuhan, China in late January this year. US has been disproportionately affected by the pandemic. Due to its contagious nature, mitigation and containment measures such as “lockdown” and social distancing have been implemented to varying degrees across the world to help control the spread of COVID-19. As a result, there are drastic changes occurring in people’s surrounding environments and daily activities. However, it is still not clear how was the environment impacted across different stages (i.e., before, during, and after) of the lockdown in the US, especially given that state-level lockdown and reopening policies varied widely across the US. Here I combined both nighttime light average radiance and air quality data to track and analyze the spatiotemporal patterns of COVID-19 impacts in the US before, during, and after lockdown. Results can provide a practical basis for economic reopening and planning.

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