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Long-Term Exposure to Ambient Air Pollution and Mortality among Four Million COVID-19 Cases in Italy: The EpiCovAir Study.
Stafoggia, Massimo; Ranzi, Andrea; Ancona, Carla; Bauleo, Lisa; Bella, Antonino; Cattani, Giorgio; Nobile, Federica; Pezzotti, Patrizio; Iavarone, Ivano.
  • Stafoggia M; Department of Epidemiology, Lazio Region Health Service/ASL Roma 1, Rome, Italy.
  • Ranzi A; Environmental Health Reference Centre, Regional Agency for Environmental Prevention of Emilia-Romagna, Modena, Italy.
  • Ancona C; Department of Epidemiology, Lazio Region Health Service/ASL Roma 1, Rome, Italy.
  • Bauleo L; Department of Epidemiology, Lazio Region Health Service/ASL Roma 1, Rome, Italy.
  • Bella A; Italian National Institute of Health (ISS), Rome, Italy.
  • Cattani G; Italian Institute for Environmental Protection and Research (ISPRA), Rome, Italy.
  • Nobile F; Department of Epidemiology, Lazio Region Health Service/ASL Roma 1, Rome, Italy.
  • Pezzotti P; Italian National Institute of Health (ISS), Rome, Italy.
  • Iavarone I; Italian National Institute of Health (ISS), Rome, Italy.
Environ Health Perspect ; 131(5): 57004, 2023 05.
Article in English | MEDLINE | ID: covidwho-2319530
ABSTRACT

BACKGROUND:

The role of chronic exposure to ambient air pollutants in increasing COVID-19 fatality is still unclear.

OBJECTIVES:

The study aimed to investigate the association between long-term exposure to air pollutants and mortality among 4 million COVID-19 cases in Italy.

METHODS:

We obtained individual records of all COVID-19 cases identified in Italy from February 2020 to June 2021. We assigned 2016-2019 mean concentrations of particulate matter (PM) with aerodynamic diameter ≤10µm (PM10), PM with aerodynamic diameter ≤2.5µm (PM2.5), and nitrogen dioxide (NO2) to each municipality (n=7,800) as estimates of chronic exposures. We applied a principal component analysis (PCA) and a generalized propensity score (GPS) approach to an extensive list of area-level covariates to account for major determinants of the spatial distribution of COVID-19 case-fatality rates. Then, we applied generalized negative binomial models matched on GPS, age, sex, province, and month. As additional analyses, we fit separate models by pandemic periods, age, and sex; we quantified the numbers of COVID-19 deaths attributable to exceedances in annual air pollutant concentrations above predefined thresholds; and we explored associations between air pollution and alternative outcomes of COVID-19 severity, namely hospitalizations or accesses to intensive care units.

RESULTS:

We analyzed 3,995,202 COVID-19 cases, which generated 124,346 deaths. Overall, case-fatality rates increased by 0.7% [95% confidence interval (CI) 0.5%, 0.9%], 0.3% (95% CI 0.2%, 0.5%), and 0.6% (95% CI 0.5%, 0.8%) per 1 µg/m3 increment in PM2.5, PM10, and NO2, respectively. Associations were higher among elderly subjects and during the first (February 2020-June 2020) and the third (December 2020-June 2021) pandemic waves. We estimated ∼8% COVID-19 deaths were attributable to pollutant levels above the World Health Organization 2021 air quality guidelines.

DISCUSSION:

We found suggestive evidence of an association between long-term exposure to ambient air pollutants with mortality among 4 million COVID-19 cases in Italy. https//doi.org/10.1289/EHP11882.
Subject(s)

Full text: Available Collection: International databases Database: MEDLINE Main subject: Air Pollutants / Air Pollution / COVID-19 Type of study: Prognostic study Topics: Long Covid Limits: Aged / Humans Language: English Journal: Environ Health Perspect Year: 2023 Document Type: Article Affiliation country: EHP11882

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Air Pollutants / Air Pollution / COVID-19 Type of study: Prognostic study Topics: Long Covid Limits: Aged / Humans Language: English Journal: Environ Health Perspect Year: 2023 Document Type: Article Affiliation country: EHP11882