Predicting the effect of confinement on the COVID-19 spread using machine learning enriched with satellite air pollution observations

Overview of attention for article published in Proceedings of the National Academy of Sciences of the United States of America, August 2021

Altmetric Badge

About this Attention Score

In the top 5% of all research outputs scored by Altmetric
High Attention Score compared to outputs of the same age (96th percentile)
Good Attention Score compared to outputs of the same age and source (76th percentile)

Mentioned by

news: 6 news outlets
twitter: 29 X users

facebook: 2 Facebook pages

Readers on

mendeley: 119 Mendeley

So far, Altmetric has seen 6 news stories from 6 outlets.

Predecir el efecto de los esfuerzos para contener la propagación de Covid-19

Espanol.news, 06 Jun 2025

El uso del aprendizaje automático enriquecido con los datos de dióxido de nitrógeno (OMI) del instrumento de monitoreo de ozono …

Satellite data of air pollutant best predictor of when to ease COVID lockdowns

Mirage News, 09 Aug 2021

A global team of air quality scientists has discovered that real-time satellite observations of the amount of the air pollutant…

News story from Western Australia Today on Monday 09 August 2021

Western Australia Today, 09 Aug 2021

Air quality levels can predict whether lockdowns have worked

Brisbane Times, 09 Aug 2021

The amount of a particular gas in the air over a region locked down to prevent the spread of COVID-19 gives an indication about…

This page shows the most recent news stories that mention this research output. Click here to find out how to access more activity, including 2 additional news stories.