A multi-step machine learning approach to assess the impact of COVID-19 lockdown on NO2 attributable deaths in Milan and Rome, Italy

A multi-step machine learning approach to assess the impact of COVID-19 lockdown on NO2 attributable deaths in Milan and Rome, Italy

Abstract Background Air pollution is one of the main concerns for the health of European citizens, and cities are currently striving to accomplish EU air pollution regulation. The 2020 COVID-19 lockdown measures can be seen as an unintended but effective experiment to assess the impact of traffic re...

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Bibliographic Details
Main Authors: Luca Boniardi, Federica Nobile, Massimo Stafoggia, Paola Michelozzi, Carla Ancona
Format: Article
Language:English
Published: BMC 2022-01-01
Series:Environmental Health
Subjects:
Air pollution
Health Impact Assessment
COVID-19
Citizen science
Machine Learning
Online Access:https://doi.org/10.1186/s12940-021-00825-9

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