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Seasonal Variation and Geographical Distribution of COVID-19 across Nigeria (March 2020–July 2021)
Globally, the novel corona virus infection has continued to witness a growing number of cases since December 2019 when the outbreak was discovered and noted in China. Despite this has not been well studied for the case of COVID-19, human contact, public moveableness and environmental variables could...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9967289/ https://www.ncbi.nlm.nih.gov/pubmed/36851175 http://dx.doi.org/10.3390/vaccines11020298 |
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author | Moroh, Jude Eguolo Innocent, David Chinaecherem Chukwuocha, Uchechukwu Madukaku Vasavada, Advait Kumar, Ramesh Siddiq, Mohammad Arham Rais, Mohammed Amir Rabaan, Ali A. Alshehri, Wafa M. Alharbi, Areej M. Binateeq, Mohammed A. Halwani, Muhammad A. Al-Ahdal, Tareq Padhi, Bijaya Kumar Sah, Ranjit |
author_facet | Moroh, Jude Eguolo Innocent, David Chinaecherem Chukwuocha, Uchechukwu Madukaku Vasavada, Advait Kumar, Ramesh Siddiq, Mohammad Arham Rais, Mohammed Amir Rabaan, Ali A. Alshehri, Wafa M. Alharbi, Areej M. Binateeq, Mohammed A. Halwani, Muhammad A. Al-Ahdal, Tareq Padhi, Bijaya Kumar Sah, Ranjit |
author_sort | Moroh, Jude Eguolo |
collection | PubMed |
description | Globally, the novel corona virus infection has continued to witness a growing number of cases since December 2019 when the outbreak was discovered and noted in China. Despite this has not been well studied for the case of COVID-19, human contact, public moveableness and environmental variables could have an impact onairborne’spropagation and virus continuance, such as influenza virus. This study aimed to determine the seasonal variation and geographical distribution of COVID-19 across Nigeria. An internet based archival research design was employed for this study on the seasonal variation and geographical distribution of COVID-19 across Nigeria. This involved the use of goggle mobility data and world map on Corona Virus Infection (COVID-19). The search strategy for getting information for this research was done electronically. The keywords in the case search using the goggle mobility software was “COVID-19 Update”, “COVID-19 Update in Nigeria”, ‘COVID-19 Winter Report’, “COVID-19 Case Fatality March 2020–July 2021”, “COVID-19 Case Fatality in Nigeria”. The data gotten from the goggle motor updates were entered into Statistical Package for the Social Sciences (SPSS) which was used in the analysis of the study. Results from the study, reported that official COVID-19 cases number was significantly higher in the Dry season (October 2020–April 2021) with 59.0% (127,213) compared to 41.0% (85,176) in the wet/rainy season (May–September) it revealed that the dry and rainy seasons had a COVID-19 prevalence of 0.063 and 0.041 respectively. Further results from the study showed that the prevalence of COVID-19 was 0.07% in the North-Central, 0.04% in both the North-East and North-West, 0.03% in the South-West, 0.09% in the South-South, and the highest prevalence of 0.16% in the South-East. Considering the case Fatality rate of COVID-19 during the Dry and Wet Seasons. The study revealed that North-Central had a death toll of 196 (10.4%) out of 9457 confirmed COVID-19 cases hence a fatality of 2.07. Fatality rate of 1.49% in South western Nigeria, South-South Nigeria, 1.49%, South-East accounted to a fatality rate of 1.25%. Nigeria based on the finding of this study records increased fatality in Dry season over wet seasons. The study concluded that prevalence of COVID-19 varies in seasons in Nigeria Hence; further Data and Meteorological analysis on weather variations towards the SARS-CoV-2 Virus spread should be evaluated by future researchers. It is imperative to ensure strict and controlled application of social measures, such as social distancing, mandatory wearing of non-medical masks to prevent droplets from entering the respiratory tract, screening of affected patients along with quarantine is essential to defeat and improve infection control. |
format | Online Article Text |
id | pubmed-9967289 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-99672892023-02-26 Seasonal Variation and Geographical Distribution of COVID-19 across Nigeria (March 2020–July 2021) Moroh, Jude Eguolo Innocent, David Chinaecherem Chukwuocha, Uchechukwu Madukaku Vasavada, Advait Kumar, Ramesh Siddiq, Mohammad Arham Rais, Mohammed Amir Rabaan, Ali A. Alshehri, Wafa M. Alharbi, Areej M. Binateeq, Mohammed A. Halwani, Muhammad A. Al-Ahdal, Tareq Padhi, Bijaya Kumar Sah, Ranjit Vaccines (Basel) Article Globally, the novel corona virus infection has continued to witness a growing number of cases since December 2019 when the outbreak was discovered and noted in China. Despite this has not been well studied for the case of COVID-19, human contact, public moveableness and environmental variables could have an impact onairborne’spropagation and virus continuance, such as influenza virus. This study aimed to determine the seasonal variation and geographical distribution of COVID-19 across Nigeria. An internet based archival research design was employed for this study on the seasonal variation and geographical distribution of COVID-19 across Nigeria. This involved the use of goggle mobility data and world map on Corona Virus Infection (COVID-19). The search strategy for getting information for this research was done electronically. The keywords in the case search using the goggle mobility software was “COVID-19 Update”, “COVID-19 Update in Nigeria”, ‘COVID-19 Winter Report’, “COVID-19 Case Fatality March 2020–July 2021”, “COVID-19 Case Fatality in Nigeria”. The data gotten from the goggle motor updates were entered into Statistical Package for the Social Sciences (SPSS) which was used in the analysis of the study. Results from the study, reported that official COVID-19 cases number was significantly higher in the Dry season (October 2020–April 2021) with 59.0% (127,213) compared to 41.0% (85,176) in the wet/rainy season (May–September) it revealed that the dry and rainy seasons had a COVID-19 prevalence of 0.063 and 0.041 respectively. Further results from the study showed that the prevalence of COVID-19 was 0.07% in the North-Central, 0.04% in both the North-East and North-West, 0.03% in the South-West, 0.09% in the South-South, and the highest prevalence of 0.16% in the South-East. Considering the case Fatality rate of COVID-19 during the Dry and Wet Seasons. The study revealed that North-Central had a death toll of 196 (10.4%) out of 9457 confirmed COVID-19 cases hence a fatality of 2.07. Fatality rate of 1.49% in South western Nigeria, South-South Nigeria, 1.49%, South-East accounted to a fatality rate of 1.25%. Nigeria based on the finding of this study records increased fatality in Dry season over wet seasons. The study concluded that prevalence of COVID-19 varies in seasons in Nigeria Hence; further Data and Meteorological analysis on weather variations towards the SARS-CoV-2 Virus spread should be evaluated by future researchers. It is imperative to ensure strict and controlled application of social measures, such as social distancing, mandatory wearing of non-medical masks to prevent droplets from entering the respiratory tract, screening of affected patients along with quarantine is essential to defeat and improve infection control. MDPI 2023-01-29 /pmc/articles/PMC9967289/ /pubmed/36851175 http://dx.doi.org/10.3390/vaccines11020298 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Moroh, Jude Eguolo Innocent, David Chinaecherem Chukwuocha, Uchechukwu Madukaku Vasavada, Advait Kumar, Ramesh Siddiq, Mohammad Arham Rais, Mohammed Amir Rabaan, Ali A. Alshehri, Wafa M. Alharbi, Areej M. Binateeq, Mohammed A. Halwani, Muhammad A. Al-Ahdal, Tareq Padhi, Bijaya Kumar Sah, Ranjit Seasonal Variation and Geographical Distribution of COVID-19 across Nigeria (March 2020–July 2021) |
title | Seasonal Variation and Geographical Distribution of COVID-19 across Nigeria (March 2020–July 2021) |
title_full | Seasonal Variation and Geographical Distribution of COVID-19 across Nigeria (March 2020–July 2021) |
title_fullStr | Seasonal Variation and Geographical Distribution of COVID-19 across Nigeria (March 2020–July 2021) |
title_full_unstemmed | Seasonal Variation and Geographical Distribution of COVID-19 across Nigeria (March 2020–July 2021) |
title_short | Seasonal Variation and Geographical Distribution of COVID-19 across Nigeria (March 2020–July 2021) |
title_sort | seasonal variation and geographical distribution of covid-19 across nigeria (march 2020–july 2021) |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9967289/ https://www.ncbi.nlm.nih.gov/pubmed/36851175 http://dx.doi.org/10.3390/vaccines11020298 |
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