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Interaction between meteorological parameters and COVID-19: an ecological study on 406 authorities of the UK
Understanding the factors affecting COVID-19 transmission is critical in assessing and mitigating the spread of the pandemic. This study investigated the transmissibility and death distribution of COVID-19 and its association with meteorological parameters to study the propagation pattern of COVID-1...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8270239/ https://www.ncbi.nlm.nih.gov/pubmed/34244943 http://dx.doi.org/10.1007/s11356-021-15279-2 |
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author | Sarmadi, Mohammad Rahimi, Sajjad Evensen, Darrick Kazemi Moghaddam, Vahid |
author_facet | Sarmadi, Mohammad Rahimi, Sajjad Evensen, Darrick Kazemi Moghaddam, Vahid |
author_sort | Sarmadi, Mohammad |
collection | PubMed |
description | Understanding the factors affecting COVID-19 transmission is critical in assessing and mitigating the spread of the pandemic. This study investigated the transmissibility and death distribution of COVID-19 and its association with meteorological parameters to study the propagation pattern of COVID-19 in UK regions. We used the reported case and death per capita rate (as of November 13, 2020; before mass vaccination) and long-term meteorological data (temperature, humidity, precipitation, wind speed, and visibility) in 406 UK local authority levels based on publicity available secondary data. We performed correlation and regression analysis between COVID-19 variables and meteorological parameters to find the association between COVID-19 and independent variables. Student’s T and Mann–Whitney’s tests were used to analyze data. The correlation and regression analyses revealed that temperature, dew point, wind speed, and humidity were the most important factors associated with spread and death of COVID-19 (P <0.05). COVID-19 cases negatively correlated with humidity in areas with high population density, but the inverse in low population density areas. Wind speeds in low visibility areas, which are considered polluted air, may increase the spread of disease (r=0.42, P <0.05) and decrease the spread in high visibility areas (r=−0.16, P <0.05). Among low (T <10°C) and high (T >10°C) temperature areas, the average incidence rates were 2056.86 (95% confidence interval (CI): 1909.49–2204.23) and 1446.76 (95% CI: 1296.71–1596.81). Also, COVID-19 death per capita rates were 81.55 (95% CI: 77.40–85.70) and 69.78 (95% CI: 64.39–75.16) respectively. According to the comprehensive analysis, the spread of disease will be suppressed as the weather warms and humidity and wind speed decrease. Different environmental conditions can increase or decrease spread of the disease due to affecting spread of disease vectors and by altering people’s behavior. |
format | Online Article Text |
id | pubmed-8270239 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-82702392021-07-09 Interaction between meteorological parameters and COVID-19: an ecological study on 406 authorities of the UK Sarmadi, Mohammad Rahimi, Sajjad Evensen, Darrick Kazemi Moghaddam, Vahid Environ Sci Pollut Res Int Research Article Understanding the factors affecting COVID-19 transmission is critical in assessing and mitigating the spread of the pandemic. This study investigated the transmissibility and death distribution of COVID-19 and its association with meteorological parameters to study the propagation pattern of COVID-19 in UK regions. We used the reported case and death per capita rate (as of November 13, 2020; before mass vaccination) and long-term meteorological data (temperature, humidity, precipitation, wind speed, and visibility) in 406 UK local authority levels based on publicity available secondary data. We performed correlation and regression analysis between COVID-19 variables and meteorological parameters to find the association between COVID-19 and independent variables. Student’s T and Mann–Whitney’s tests were used to analyze data. The correlation and regression analyses revealed that temperature, dew point, wind speed, and humidity were the most important factors associated with spread and death of COVID-19 (P <0.05). COVID-19 cases negatively correlated with humidity in areas with high population density, but the inverse in low population density areas. Wind speeds in low visibility areas, which are considered polluted air, may increase the spread of disease (r=0.42, P <0.05) and decrease the spread in high visibility areas (r=−0.16, P <0.05). Among low (T <10°C) and high (T >10°C) temperature areas, the average incidence rates were 2056.86 (95% confidence interval (CI): 1909.49–2204.23) and 1446.76 (95% CI: 1296.71–1596.81). Also, COVID-19 death per capita rates were 81.55 (95% CI: 77.40–85.70) and 69.78 (95% CI: 64.39–75.16) respectively. According to the comprehensive analysis, the spread of disease will be suppressed as the weather warms and humidity and wind speed decrease. Different environmental conditions can increase or decrease spread of the disease due to affecting spread of disease vectors and by altering people’s behavior. Springer Berlin Heidelberg 2021-07-09 2021 /pmc/articles/PMC8270239/ /pubmed/34244943 http://dx.doi.org/10.1007/s11356-021-15279-2 Text en © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Research Article Sarmadi, Mohammad Rahimi, Sajjad Evensen, Darrick Kazemi Moghaddam, Vahid Interaction between meteorological parameters and COVID-19: an ecological study on 406 authorities of the UK |
title | Interaction between meteorological parameters and COVID-19: an ecological study on 406 authorities of the UK |
title_full | Interaction between meteorological parameters and COVID-19: an ecological study on 406 authorities of the UK |
title_fullStr | Interaction between meteorological parameters and COVID-19: an ecological study on 406 authorities of the UK |
title_full_unstemmed | Interaction between meteorological parameters and COVID-19: an ecological study on 406 authorities of the UK |
title_short | Interaction between meteorological parameters and COVID-19: an ecological study on 406 authorities of the UK |
title_sort | interaction between meteorological parameters and covid-19: an ecological study on 406 authorities of the uk |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8270239/ https://www.ncbi.nlm.nih.gov/pubmed/34244943 http://dx.doi.org/10.1007/s11356-021-15279-2 |
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