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Statistical study on the impact of different meteorological changes on the spread of COVID-19 pandemic in Egypt and its latitude

ABSTRACT: More than 1 million illnesses and 70,000 deaths were reported due to novel COVID-19 by the end of the first quarter of 2020. In April 2020, the World Health Organization declared COVID-19 a pandemic. The striking resemblance between COVID-19 and its forerunners SARS and MERS, as well as ea...

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Autores principales: Hamd, Ahmed, Abdulraheem, Diaa Elhak, Khan, Aftab Aslam Parwaz, Shaban, Mohamed, Alamry, Khalid A., Asiri, Abdullah M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8236310/
https://www.ncbi.nlm.nih.gov/pubmed/34222613
http://dx.doi.org/10.1007/s40808-021-01222-4
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author Hamd, Ahmed
Abdulraheem, Diaa Elhak
Khan, Aftab Aslam Parwaz
Shaban, Mohamed
Alamry, Khalid A.
Asiri, Abdullah M.
author_facet Hamd, Ahmed
Abdulraheem, Diaa Elhak
Khan, Aftab Aslam Parwaz
Shaban, Mohamed
Alamry, Khalid A.
Asiri, Abdullah M.
author_sort Hamd, Ahmed
collection PubMed
description ABSTRACT: More than 1 million illnesses and 70,000 deaths were reported due to novel COVID-19 by the end of the first quarter of 2020. In April 2020, the World Health Organization declared COVID-19 a pandemic. The striking resemblance between COVID-19 and its forerunners SARS and MERS, as well as earlier findings on the impact of meteorological conditions on the spread of SARS and MERS, prompted researchers to investigate the relationship between meteorological conditions and the spread of COVID-19. In this work, we statistically studied the effect of different meteorological parameters such as average temperature, humidity, dew point, and wind speed on the spread of COVID-19 pandemic in Egypt and its latitude (Algeria, Egypt, Iran, Saudi Arabia, Turkey). Our findings revealed that there is a correlation between several meteorological parameters and the spread of COVID-19, but that, contrary to popular belief, the virus does not disappear when the temperature rises. Our theory is that either the virus became active in Egypt and its latitude as the temperature rose, or the humidity became unstable when the temperature rose during the summer season. A log-linear quasi-Poisson regression model was used to estimate the relationship between the studied metrological parameters and the spread of COVID-19. The findings of the study will have ramifications for future control and prevention efforts in Egypt and its latitude. GRAPHIC ABSTRACT: [Image: see text]
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spelling pubmed-82363102021-06-28 Statistical study on the impact of different meteorological changes on the spread of COVID-19 pandemic in Egypt and its latitude Hamd, Ahmed Abdulraheem, Diaa Elhak Khan, Aftab Aslam Parwaz Shaban, Mohamed Alamry, Khalid A. Asiri, Abdullah M. Model Earth Syst Environ Original Article ABSTRACT: More than 1 million illnesses and 70,000 deaths were reported due to novel COVID-19 by the end of the first quarter of 2020. In April 2020, the World Health Organization declared COVID-19 a pandemic. The striking resemblance between COVID-19 and its forerunners SARS and MERS, as well as earlier findings on the impact of meteorological conditions on the spread of SARS and MERS, prompted researchers to investigate the relationship between meteorological conditions and the spread of COVID-19. In this work, we statistically studied the effect of different meteorological parameters such as average temperature, humidity, dew point, and wind speed on the spread of COVID-19 pandemic in Egypt and its latitude (Algeria, Egypt, Iran, Saudi Arabia, Turkey). Our findings revealed that there is a correlation between several meteorological parameters and the spread of COVID-19, but that, contrary to popular belief, the virus does not disappear when the temperature rises. Our theory is that either the virus became active in Egypt and its latitude as the temperature rose, or the humidity became unstable when the temperature rose during the summer season. A log-linear quasi-Poisson regression model was used to estimate the relationship between the studied metrological parameters and the spread of COVID-19. The findings of the study will have ramifications for future control and prevention efforts in Egypt and its latitude. GRAPHIC ABSTRACT: [Image: see text] Springer International Publishing 2021-06-27 2022 /pmc/articles/PMC8236310/ /pubmed/34222613 http://dx.doi.org/10.1007/s40808-021-01222-4 Text en © The Author(s), under exclusive licence to Springer Nature Switzerland AG 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 Original Article
Hamd, Ahmed
Abdulraheem, Diaa Elhak
Khan, Aftab Aslam Parwaz
Shaban, Mohamed
Alamry, Khalid A.
Asiri, Abdullah M.
Statistical study on the impact of different meteorological changes on the spread of COVID-19 pandemic in Egypt and its latitude
title Statistical study on the impact of different meteorological changes on the spread of COVID-19 pandemic in Egypt and its latitude
title_full Statistical study on the impact of different meteorological changes on the spread of COVID-19 pandemic in Egypt and its latitude
title_fullStr Statistical study on the impact of different meteorological changes on the spread of COVID-19 pandemic in Egypt and its latitude
title_full_unstemmed Statistical study on the impact of different meteorological changes on the spread of COVID-19 pandemic in Egypt and its latitude
title_short Statistical study on the impact of different meteorological changes on the spread of COVID-19 pandemic in Egypt and its latitude
title_sort statistical study on the impact of different meteorological changes on the spread of covid-19 pandemic in egypt and its latitude
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8236310/
https://www.ncbi.nlm.nih.gov/pubmed/34222613
http://dx.doi.org/10.1007/s40808-021-01222-4
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