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A local government area based Covid-19 vulnerability analysis in Nigeria
Vulnerability to COVID-19 has been widely studied from varying perspectives, but susceptibility at the grassroots has not been adequately considered. The vulnerability of the 774 local government areas (LGAs) in Nigeria to COVID-19 and its predictors were determined using road distances from the two...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Netherlands
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10018617/ http://dx.doi.org/10.1007/s10708-023-10857-y |
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author | Taiwo, Olalekan Addie, Oluwaseun Seun-Addie, Kehinde |
author_facet | Taiwo, Olalekan Addie, Oluwaseun Seun-Addie, Kehinde |
author_sort | Taiwo, Olalekan |
collection | PubMed |
description | Vulnerability to COVID-19 has been widely studied from varying perspectives, but susceptibility at the grassroots has not been adequately considered. The vulnerability of the 774 local government areas (LGAs) in Nigeria to COVID-19 and its predictors were determined using road distances from the two major entry airports in the country to each of the LGAs, socio-economic indices, quality of hygiene, and the level of exposure to mass media. LGA population data were obtained from the National Population Commission of Nigeria, while socio-economic and socio-demographic data were extracted from the 2018 NDHS report. Distances were determined with the aid of an online distance calculator, distantias. The single most important predictor was female non-exposure to mass media. Distances from the COVID-19 epicentres of Lagos and Abuja did not contribute much to the model. Thus, the result highlighted the strategic position of women in the African community and the potential of the mass media in disease control. The suppression of the established effect of distance suggests that vulnerability to COVID-19 in developing countries may not follow the path assumed in developed countries. Thus, the way to contain the disease in developing countries might be the active enlightenment of women. |
format | Online Article Text |
id | pubmed-10018617 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer Netherlands |
record_format | MEDLINE/PubMed |
spelling | pubmed-100186172023-03-16 A local government area based Covid-19 vulnerability analysis in Nigeria Taiwo, Olalekan Addie, Oluwaseun Seun-Addie, Kehinde GeoJournal Article Vulnerability to COVID-19 has been widely studied from varying perspectives, but susceptibility at the grassroots has not been adequately considered. The vulnerability of the 774 local government areas (LGAs) in Nigeria to COVID-19 and its predictors were determined using road distances from the two major entry airports in the country to each of the LGAs, socio-economic indices, quality of hygiene, and the level of exposure to mass media. LGA population data were obtained from the National Population Commission of Nigeria, while socio-economic and socio-demographic data were extracted from the 2018 NDHS report. Distances were determined with the aid of an online distance calculator, distantias. The single most important predictor was female non-exposure to mass media. Distances from the COVID-19 epicentres of Lagos and Abuja did not contribute much to the model. Thus, the result highlighted the strategic position of women in the African community and the potential of the mass media in disease control. The suppression of the established effect of distance suggests that vulnerability to COVID-19 in developing countries may not follow the path assumed in developed countries. Thus, the way to contain the disease in developing countries might be the active enlightenment of women. Springer Netherlands 2023-03-16 /pmc/articles/PMC10018617/ http://dx.doi.org/10.1007/s10708-023-10857-y Text en © The Author(s), under exclusive licence to Springer Nature B.V. 2023, Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. 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 | Article Taiwo, Olalekan Addie, Oluwaseun Seun-Addie, Kehinde A local government area based Covid-19 vulnerability analysis in Nigeria |
title | A local government area based Covid-19 vulnerability analysis in Nigeria |
title_full | A local government area based Covid-19 vulnerability analysis in Nigeria |
title_fullStr | A local government area based Covid-19 vulnerability analysis in Nigeria |
title_full_unstemmed | A local government area based Covid-19 vulnerability analysis in Nigeria |
title_short | A local government area based Covid-19 vulnerability analysis in Nigeria |
title_sort | local government area based covid-19 vulnerability analysis in nigeria |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10018617/ http://dx.doi.org/10.1007/s10708-023-10857-y |
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