Background: Recent evidence links ambient air pollution to COVID-19 incidence, severity, and death, but few studies have analyzed individual-level mortality data with high quality exposure models.
Methods: We sought to assess whether higher air pollution exposures led to greater risk of death during or after hospitalization in confirmed COVID-19 cases among patients who were members of the Kaiser Permanente Southern California (KPSC) healthcare system (N=21,415 between 06-01-2020 and 01-31-2022 of whom 99.85 % were unvaccinated during the study period). We used 1 km resolution chemical transport models to estimate ambient concentrations of several common air pollutants, including ozone, nitrogen dioxide, and fine particle matter (PM). We also derived estimates of pollutant exposures from ultra-fine particulate matter (PM), PM chemical species, and PM sources. We employed Cox proportional hazards models to assess associations between air pollution exposures and death from COVID-19 among hospitalized patients.
Findings: We found significant associations between COVID-19 death and several air pollution exposures, including: PM mass, PM mass, PM nitrates, PM elemental carbon, PM on-road diesel, and PM on-road gasoline. Based on the interquartile (IQR) exposure increment, effect sizes ranged from hazard ratios (HR) = 1.12 for PM mass and PM nitrate to HR ∼ 1.06-1.07 for other species or source markers. Humidity and temperature in the month of diagnosis were also significant negative predictors of COVID-19 death and negative modifiers of the air pollution effects.
Interpretation: Air pollution exposures and meteorology were associated the risk of COVID-19 death in a cohort of patients from Southern California. These findings have implications for prevention of death from COVID-19 and for future pandemics.
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http://dx.doi.org/10.1016/j.envint.2022.107675 | DOI Listing |
PLoS One
January 2025
Escuela de Ingeniería Química, Pontificia Universidad Católica de Valparaíso, Valparaíso, Chile.
In this comprehensive analysis of Chile's air quality dynamics spanning 2016 to 2021, the utilization of data from the National Air Quality Information System (SINCA) and its network of monitoring stations was undertaken. Quintero, Puchuncaví, and Coyhaique were the focal points of this study, with the primary objective being the construction of predictive models for sulfur dioxide (SO2), fine particulate matter (PM2.5), and coarse particulate matter (PM10).
View Article and Find Full Text PDFInt J Environ Health Res
January 2025
Department of Oncology, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Environ Monit Assess
January 2025
Municipal Budgetary Educational Institution "Lyceum of the City of Yurga", St. Kirova, 7, Yurga, Kemerovo Region, 652055, Russia.
In Kemerovo Region (Kuzbass, Southwest Siberia), there is the largest coal basin in Russia and one of the largest in the world. Active moss biomonitoring was applied to assess the impact of potentially toxic elements on air pollution in five urban areas of the region. In each of the chosen urban regions, the moss bags were exposed in November and December of 2022 at locations with varying degrees of anthropogenic pressure.
View Article and Find Full Text PDFEnviron Monit Assess
January 2025
Laboratory for Ecotoxicology and Environmental Forensics, University of Benin, PMB 1154, Benin City, Nigeria.
This research was carried out to assess the concentrations of carbon monoxide (CO) and formaldehyde (HCHO) in Edo State, Southern Nigeria, using remote sensing data. A secondary data collection method was used for the assessment, and the levels of CO and HCHO were extracted annually from Google Earth Engine using information from Sentinel-5-P satellite data (COPERNISCUS/S5P/NRTI/L3_) and processed using ArcMap, Google Earth Engine, and Microsoft Excel to determine the levels of CO and HCHO in the study area from 2018 to 2023. The geometry of the study location is highlighted, saved and run, and a raster imagery file of the study area is generated after the task has been completed with a 'projection and extent' in the Geographic Tagged Image File Format (.
View Article and Find Full Text PDFArch Microbiol
January 2025
Institute for Tropical Biology and Conservation, Universiti Malaysia Sabah, Jalan, UMS, 88400, Kota Kinabalu, Sabah, Malaysia.
The agricultural productivity and world-wide food security is affected by different phytopathogens, in which Fusarium is more destructive affecting more than 150 crops, now got resistance against many fungicides that possess harmful effects on environment such as soil health, air pollution, and human health. Fusarium fungicide resistance is an increasing concern in agricultural and environmental contexts, requiring a thorough understanding of its causes, implications, and management approaches. The mechanisms of fungicide resistance in Fusarium spp.
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