ArticleEarth systems and environment2020
Investigating the Significance of Aerosols in Determining the Coronavirus Fatality Rate Among Three European Countries.
Article in Earth systems and environment, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
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Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The impact of air pollution on COVID-19 incidence, severity, and mortality: A systematic review of studies in Europe and North America.Environmental research · 2022Pooled it
- Integration of Moran's I, geographically weighted regression (GWR), and ordinary least square (OLS) models in spatiotemporal modeling of COVID-19 outbreak in Qom and Mazandaran Provinces, Iran.Modeling earth systems and environment · 2023Article
- Article
- Global infectious disease research collaborations in crises: building capacity and inclusivity through cooperation.Globalization and health · 2021Article
- Commentary: mobile laboratories for SARS-CoV-2 diagnostics: what Europe could learn from the East African Community to assure trade in times of border closures.Globalization and health · 2021Article
- Relationship between COVID-19 infection rates and air pollution, geo-meteorological, and social parameters.Environmental monitoring and assessment · 2021Article
- Impact of Weather Parameters and Population Density on the COVID-19 Transmission: Evidence from 81 Provinces of Turkey.Earth systems and environment · 2021Article
- Is Meteorology a Factor to COVID-19 Spread in a Tropical Climate?Earth systems and environment · 2021Article
- Mathematical modelling of the second wave of COVID-19 infections using deterministic and stochastic SIDR models.Nonlinear dynamics · 2021Article
- NSGA-II as feature selection technique and AdaBoost classifier for COVID-19 prediction using patient's symptoms.Nonlinear dynamics · 2021Article
- Peaks of Fine Particulate Matter May Modulate the Spreading and Virulence of COVID-19.Earth systems and environment · 2020Article
- Spatiotemporal Assessment of COVID-19 Spread over Oman Using GIS Techniques.Earth systems and environment · 2020Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The coronavirus pandemic has not only gripped the scientific community in the search for a vaccine or a cure but also in attempts using statistics and association analysis-to identify environmental factors that increase its potency. A study by Ogen (Sci Total Environ 726:138605, 2020a) explored the possible correlation between coronavirus fatality and high nitrogen dioxide exposure in four European countries-France, Germany, Italy and Spain. Meanwhile, another study showed the importance of nitrogen dioxide along with population density in determining the coronavirus pandemic rate in England. In this follow-up study, Aerosol Optical Depth (AOD) was introduced in conjunction with other variables like nitrogen dioxide and population density for further analysis in fifty-four administrative regions of Germany, Italy and Spain. The AOD values were extracted from the Moderate Resolution Imaging Spectroradiometer (MODIS) onboard the Terra and Aqua satellites while the nitrogen dioxide data were extracted from TROPOMI (TROPOspheric Monitoring Instrument) sensor onboard the Sentinel-5 Precursor satellite. Regression models, as well as multiple statistical tests were used to evaluate the predictive skill and significance of each variable to the fatality rate. The study was conducted for two periods: (1) pre-exposure period (Dec 1, 2019-Feb 29, 2020); (2) complete exposure period (Dec 1, 2019-Jul 1, 2020). Some of the results pointed towards AOD potentially being a factor in estimating the coronavirus fatality rate. The models performed better using the data collected during the complete exposure period, which showed higher AOD values contributed to an increased significance of AOD in the models. Meanwhile, some uncertainties of the analytical results could be attributed to data quality and the absence of other important factors that determine the coronavirus fatality rate.
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