Cargando…
A multi-step machine learning approach to assess the impact of COVID-19 lockdown on NO(2) attributable deaths in Milan and Rome, Italy
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 restrictio...
Autores principales: | Boniardi, Luca, Nobile, Federica, Stafoggia, Massimo, Michelozzi, Paola, Ancona, Carla |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8761378/ https://www.ncbi.nlm.nih.gov/pubmed/35034644 http://dx.doi.org/10.1186/s12940-021-00825-9 |
Ejemplares similares
-
Air pollution, SARS-CoV-2 incidence and COVID-19 mortality in Rome: a longitudinal study
por: Nobile, Federica, et al.
Publicado: (2022) -
A Methodological Approach to Use Contextual Factors for Epidemiological Studies on Chronic Exposure to Air Pollution and COVID-19 in Italy
por: Bauleo, Lisa, et al.
Publicado: (2022) -
Saharan Dust and Associations between Particulate Matter and Daily Mortality in Rome, Italy
por: Mallone, Sandra, et al.
Publicado: (2011) -
Long-Term Exposure to Ambient Air Pollution and Mortality among Four Million COVID-19 Cases in Italy: The EpiCovAir Study
por: Stafoggia, Massimo, et al.
Publicado: (2023) -
Exposure to Residential Greenness as a Predictor of Cause-Specific Mortality and Stroke Incidence in the Rome Longitudinal Study
por: Orioli, Riccardo, et al.
Publicado: (2019)