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. 2022 Aug 3;12(1):13317.
doi: 10.1038/s41598-022-17215-x.

Assessing the impact of long-term exposure to nine outdoor air pollutants on COVID-19 spatial spread and related mortality in 107 Italian provinces

Affiliations

Assessing the impact of long-term exposure to nine outdoor air pollutants on COVID-19 spatial spread and related mortality in 107 Italian provinces

Gaetano Perone. Sci Rep. .

Abstract

This paper investigates the air quality in 107 Italian provinces in the period 2014-2019 and the association between exposure to nine outdoor air pollutants and the COVID-19 spread and related mortality in the same areas. The methods used were negative binomial (NB) regression, ordinary least squares (OLS) model, and spatial autoregressive (SAR) model. The results showed that (i) common air pollutants-nitrogen dioxide (NO2), ozone (O3), and particulate matter (PM2.5 and PM10)-were highly and positively correlated with large firms, energy and gas consumption, public transports, and livestock sector; (ii) long-term exposure to NO2, PM2.5, PM10, benzene, benzo[a]pyrene (BaP), and cadmium (Cd) was positively and significantly correlated with the spread of COVID-19; and (iii) long-term exposure to NO2, O3, PM2.5, PM10, and arsenic (As) was positively and significantly correlated with COVID-19 related mortality. Specifically, particulate matter and Cd showed the most adverse effect on COVID-19 prevalence; while particulate matter and As showed the largest dangerous impact on excess mortality rate. The results were confirmed even after controlling for eighteen covariates and spatial effects. This outcome seems of interest because benzene, BaP, and heavy metals (As and Cd) have not been considered at all in recent literature. It also suggests the need for a national strategy to drive down air pollutant concentrations to cope better with potential future pandemics.

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Conflict of interest statement

The author declares no competing interests.

Figures

Figure 1
Figure 1
Average long-term outdoor concentrations (or violations) of NO2, O3, PM2.5, PM10, benzene, BaP, As, Cd, and Ni, in the 107 Italian provinces. When no data are available, the province is grey colored. The map was generated using Microsoft Excel software 2021. All the sources used to collect the data are reported in detail in the Appendix B.
Figure 2
Figure 2
COVID-19 prevalence and related mortality in 107 Italian provinces (on 30 November 2020). Source: own elaborations on data from Italian Ministry of Health, I.Stat, and Istat. The map was generated using Microsoft Excel software 2021.

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