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COVID-19 incidence and mortality in Lombardy, Italy: An ecological study on the role of air pollution, meteorological factors, demographic and socioeconomic variables
被引:69
|作者:
De Angelis, Elena
[2
]
Renzetti, Stefano
[1
]
Volta, Marialuisa
[2
,3
]
Donato, Francesco
[4
]
Calza, Stefano
[1
,5
]
Placidi, Donatella
[4
]
Lucchini, Roberto G.
[4
,6
]
Rota, Matteo
[1
]
机构:
[1] Univ Brescia, Dept Mol & Translat Med, Viale Europa 11, I-25123 Brescia, Italy
[2] Univ Brescia, Dept Mech & Ind Engn, Via Branze 38, I-25123 Brescia, Italy
[3] Univ Brescia, B LabNet, Environm Sustainabil Lab, Via Branze 45, I-25123 Brescia, Italy
[4] Univ Brescia, Dept Med & Surg Specialties, Unit Hyg Epidemiol & Publ Hlth, Radiol Sci & Publ Hlth, Viale Europa 11, I-25123 Brescia, Italy
[5] Karolinska Inst, Dept Med Epidemiol & Biostat, S-17177 Stockholm, Sweden
[6] Florida Int Univ, Dept Environm Hlth, Robert Stempel Coll Publ Hlth & Social Work, 11200 SW,8th St AHC5, Miami, FL 33199 USA
关键词:
COVID-19;
Ecological study;
Excess mortality;
Incidence;
Risk factors;
D O I:
10.1016/j.envres.2021.110777
中图分类号:
X [环境科学、安全科学];
学科分类号:
08 ;
0830 ;
摘要:
Lombardy, the most populated and industrialized Italian region, was the epicentre of the first wave (March and April 2020) of COVID-19 in Italy and it is among the most air polluted areas of Europe. We carried out an ecological study to assess the association between long-term exposure to particulate matter (PM) and nitrogen dioxide (NO2) on COVID-19 incidence and all-cause mortality after accounting for demographic, socioeconomic and meteorological variables. The study was based on publicly available data. Multivariable negative binomial mixed regression models were fitted, and results were reported in terms of incidence rate ratios (IRRs) and standardized mortality ratios (SMR). The effect of winter temperature and humidity was modelled through restricted cubic spline. Data from 1439 municipalities out of 1507 (95%) were included in the analyses, leading to a total of 61,377 COVID-19 cases and 40,401 deaths from all-causes collected from February 20th to April 16th and from March 1st to April 30th, 2020, respectively. Several demographic and socioeconomic variables resulted significantly associated with COVID-19 incidence and all-cause mortality in a multivariable fashion. An increase in average winter temperature was associated with a nonlinear decrease in COVID-19 incidence and all-cause mortality, while an opposite trend emerged for the absolute humidity. An increase of 10 mu g/m(3) in the mean annual concentrations of PM2.5 and PM10 over the previous years was associated with a 58% and 34% increase in COVID-19 incidence rate, respectively. Similarly, a 10 mu g/m(3) increase of annual mean PM2.5 concen tration was associated with a 23% increase in all-cause mortality. An inverse association was found between NO2 levels and COVID-19 incidence and all-cause mortality. Our ecological study showed that exposure to PM was significantly associated with the COVID-19 incidence and excess mortality during the first wave of the outbreak in Lombardy, Italy.
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