What is it about?

Economic activity is usually associated with emissions of gases such as NO2. We combined satellite observations with machine learning techniques to indicate changes in economic activity under epidemic conditions to predict the effect of confinement on the viral spread of COVID-19.

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Why is it important?

Our study shows how satellite observations can provide surrogate data for activity reduction during the COVID- 19 pandemic and monitor the effectiveness of containment to the pandemic before vaccines become widely available.

Perspectives

This article provides a fresh perspective that I think will help us better understand the impact of the epidemic on individuals and society, as well as assist in decision making during the epidemic

Ruipu Yang
Fudan University

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This page is a summary of: Predicting the effect of confinement on the COVID-19 spread using machine learning enriched with satellite air pollution observations, Proceedings of the National Academy of Sciences, August 2021, Proceedings of the National Academy of Sciences, DOI: 10.1073/pnas.2109098118.
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