Predicting the effect of confinement on the COVID-19 spread using machine learning enriched with satellite air pollution observations
Description
The real-time monitoring of reductions of economic activity by containment measures and its effect on the transmission of the coronavirus (COVID-19) is a critical unanswered question. We inferred 5,642 weekly activity anomalies from the meteorology
