Literature DB >> 33412807

[Exposure assessment of air pollution in Italy 2016-2019 for future studies on air pollution and COVID-19].

Massimo Stafoggia1, Giorgio Cattani2, Carla Ancona3, Andrea Ranzi4.   

Abstract

Air pollution is one of the leading causes of death worldwide, with adverse effects related both to short-term and long-term exposure. It has also recently been linked to COVID-19 pandemic. To analyze this possible association in Italy, studies on the entire area of the peninsula are necessary, both urban and non-urban areas. Therefore, there is a need for a homogeneous and applicable exposure assessment tool throughout the country.Experiences of high spatio-temporal resolution models for Italian territory already exist for PM estimation, using space-time predictors, satellite data, air quality monitoring data.This work completes the availability of these estimations for the most recent years (2016-2019) and is also applied to nitrogen oxides and ozone. The spatial resolution is 1x1 km.The model confirms its capability of capturing most of PM variability (R2=0.78 and 0.74 for PM10 e PM2.5, respectively), and provides reliable estimates also for ozone (R2=0.76); for NO2 the model performance is lower (R2=0.57). The model estimations were used to calculate the PWE (population-weighted exposure) as the annual mean, weighted on the resident population in each individual cell, which represents the estimation of the Italian population's chronic exposure to air pollution.These estimates are ready to be used in studies on the association between chronic exposure to air pollution and COVID-19 pathology, as well as for investigations on the role of air pollution on the health of the Italian population.

Entities:  

Keywords:  air pollution; random-forest models; population-weighted exposure; COVID-19

Mesh:

Substances:

Year:  2020        PMID: 33412807     DOI: 10.19191/EP20.5-6.S2.115

Source DB:  PubMed          Journal:  Epidemiol Prev        ISSN: 1120-9763            Impact factor:   1.901


  5 in total

1.  Comment on "Deep Ensemble Machine Learning Framework for the Estimation of PM2.5 Concentrations".

Authors:  Massimo Stafoggia; Giorgio Cattani; Carla Ancona; Antonio Gasparrini; Andrea Ranzi
Journal:  Environ Health Perspect       Date:  2022-06-02       Impact factor: 11.035

2.  Impact analysis of COVID-19 pandemic control measures on nighttime light and air quality in cities.

Authors:  Mingming Deng; Geying Lai; Qiyue Li; Wenya Li; Yue Pan; Kai Li
Journal:  Remote Sens Appl       Date:  2022-07-02

3.  Effects of environmental parameters and their interactions on the spreading of SARS-CoV-2 in North Italy under different social restrictions. A new approach based on multivariate analysis.

Authors:  Fabio Tateo; Sirio Fiorino; Luca Peruzzo; Maddalena Zippi; Dario De Biase; Federico Lari; Dora Melucci
Journal:  Environ Res       Date:  2022-02-10       Impact factor: 8.431

4.  Air pollution, SARS-CoV-2 incidence and COVID-19 mortality in Rome - a longitudinal study.

Authors:  Federica Nobile; Paola Michelozzi; Carla Ancona; Giovanna Cappai; Giulia Cesaroni; Marina Davoli; Mirko Di Martino; Emanuele Nicastri; Enrico Girardi; Alessia Beccacece; Paola Scognamiglio; Chiara Sorge; Francesco Vairo; Massimo Stafoggia
Journal:  Eur Respir J       Date:  2022-07-26       Impact factor: 33.795

5.  A Methodological Approach to Use Contextual Factors for Epidemiological Studies on Chronic Exposure to Air Pollution and COVID-19 in Italy.

Authors:  Lisa Bauleo; Simone Giannini; Andrea Ranzi; Federica Nobile; Massimo Stafoggia; Carla Ancona; Ivano Iavarone
Journal:  Int J Environ Res Public Health       Date:  2022-03-01       Impact factor: 3.390

  5 in total

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