Version 1
: Received: 15 August 2023 / Approved: 15 August 2023 / Online: 16 August 2023 (07:54:43 CEST)
How to cite:
Maniat, M.; Habibi, H.; Manshoorinia, E.; Marous, P.; Sanjari Pirayvatlou, P.; Majidi, A. Temporal and Spatial Correlation of Air Pollution with COVID-19 in the USA: Challenges and Implications. Preprints2023, 2023081121. https://doi.org/10.20944/preprints202308.1121.v1
Maniat, M.; Habibi, H.; Manshoorinia, E.; Marous, P.; Sanjari Pirayvatlou, P.; Majidi, A. Temporal and Spatial Correlation of Air Pollution with COVID-19 in the USA: Challenges and Implications. Preprints 2023, 2023081121. https://doi.org/10.20944/preprints202308.1121.v1
Maniat, M.; Habibi, H.; Manshoorinia, E.; Marous, P.; Sanjari Pirayvatlou, P.; Majidi, A. Temporal and Spatial Correlation of Air Pollution with COVID-19 in the USA: Challenges and Implications. Preprints2023, 2023081121. https://doi.org/10.20944/preprints202308.1121.v1
APA Style
Maniat, M., Habibi, H., Manshoorinia, E., Marous, P., Sanjari Pirayvatlou, P., & Majidi, A. (2023). Temporal and Spatial Correlation of Air Pollution with COVID-19 in the USA: Challenges and Implications. Preprints. https://doi.org/10.20944/preprints202308.1121.v1
Chicago/Turabian Style
Maniat, M., Pouyan Sanjari Pirayvatlou and Alireza Majidi. 2023 "Temporal and Spatial Correlation of Air Pollution with COVID-19 in the USA: Challenges and Implications" Preprints. https://doi.org/10.20944/preprints202308.1121.v1
Abstract
The outbreak of the COVID-19 pandemic has raised concerns about potential environmental factors that could influence the spread and severity of the SARS-CoV-2 virus. Atmospheric pollution, particularly particulate matter (PM), has been suggested as a contributing factor to viral infections and respiratory complications. This two-year observational study aimed to investigate the relation between air pollution and the spread of COVID-19, focusing on PM2.5. Unlike previous studies limited to specific cities or countries, inevitable to use temporal data. Our research analyzed data from various states across the United States, considering both spatial and temporal correlation. The analysis considered the number and geographic distribution of COVID-19 cases along with daily PM2.5 exposure levels, accounting for monthly average PM2.5 exposure, from March 2020 to December 2021. The observed conflicting results of the temporal and spatial correlation present challenges for researchers in understanding the true nature of the relationship between PM2.5 air pollution and COVID-19 cases. The correlation between various factors, such as population density, PM2.5, temperature, and wind speed, and COVID-19 refers to an association or statistical relationship, not causation. Moreover, the intricate interplay of these variables makes it difficult to establish a clear cause-and-effect relationship.
Keywords
COVID-19; population density; air pollution; PM2.5
Subject
Public Health and Healthcare, Public, Environmental and Occupational Health
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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