Do pre-existing medical conditions affect COVID-19 incidence and fatality in Nigeria? A Geographical Perspective
Clinical evidence shows the incidence of novel coronavirus is associated with pre-existing medical conditions. Thus, people with pre-existing medical conditions are more likely to be infected with COVID-19. In light of this, this paper examined the extent to which pre-existing medical conditions are...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
De Gruyter
2022-04-01
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| Series: | Open Health |
| Subjects: | |
| Online Access: | https://doi.org/10.1515/openhe-2022-0007 |
| _version_ | 1797743812131422208 |
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| author | Osayomi Tolulope Adeleke Richard Yaya Sanni Ayanda Joy Temitope Akpoterai Lawrence Enejeta Fatayo Opeyemi Caleb |
| author_facet | Osayomi Tolulope Adeleke Richard Yaya Sanni Ayanda Joy Temitope Akpoterai Lawrence Enejeta Fatayo Opeyemi Caleb |
| author_sort | Osayomi Tolulope |
| collection | DOAJ |
| description | Clinical evidence shows the incidence of novel coronavirus is associated with pre-existing medical conditions. Thus, people with pre-existing medical conditions are more likely to be infected with COVID-19. In light of this, this paper examined the extent to which pre-existing medical conditions are related to COVID-19 incidence and mortality in Nigeria from a geographical perspective. We used the geographically weighted regression (GWR) to determine the effect and extent to which pre-existing medical conditions affect COVID-19 incidence in Nigeria. Our findings show that besides the remarkable spatial variation in COVID-19 incidence and mortality, obesity was a significant predictor of COVID-19 with its effect strongest in southwest Nigeria and other parts of the country. The conclusion of the paper is that areas with high prevalence of pre-existing medical conditions coincide with areas with high COVID-19 incidence and fatality. We recommended that there should be a spatially explicit intervention on the reduction of exposure to COVID-19 among states with high prevalence of pre-existing medical conditions through vaccination. |
| first_indexed | 2024-03-12T15:00:51Z |
| format | Article |
| id | doaj.art-cd25663c739f40fbb076069f22dee13c |
| institution | Directory Open Access Journal |
| issn | 2544-9826 |
| language | English |
| last_indexed | 2024-03-12T15:00:51Z |
| publishDate | 2022-04-01 |
| publisher | De Gruyter |
| record_format | Article |
| series | Open Health |
| spelling | doaj.art-cd25663c739f40fbb076069f22dee13c2023-08-14T07:07:52ZengDe GruyterOpen Health2544-98262022-04-0131505910.1515/openhe-2022-0007Do pre-existing medical conditions affect COVID-19 incidence and fatality in Nigeria? A Geographical PerspectiveOsayomi Tolulope0Adeleke Richard1Yaya Sanni2Ayanda Joy Temitope3Akpoterai Lawrence Enejeta4Fatayo Opeyemi Caleb5COVID-19 Mapping Lab, Department of Geography, University of Ibadan, Ibadan, NigeriaCOVID-19 Mapping Lab, Department of Geography, University of Ibadan, Ibadan, NigeriaSchool of International Development and Global Studies, University of Ottawa, Canada; The George Institute for Global Health, University of Oxford, Oxford, United KingdomCOVID-19 Mapping Lab, Department of Geography, University of Ibadan, Ibadan, NigeriaCOVID-19 Mapping Lab, Department of Geography, University of Ibadan, Ibadan, NigeriaDepartment of GeoInformatics and Land Surveying, University of Uyo, Uyo, NigeriaClinical evidence shows the incidence of novel coronavirus is associated with pre-existing medical conditions. Thus, people with pre-existing medical conditions are more likely to be infected with COVID-19. In light of this, this paper examined the extent to which pre-existing medical conditions are related to COVID-19 incidence and mortality in Nigeria from a geographical perspective. We used the geographically weighted regression (GWR) to determine the effect and extent to which pre-existing medical conditions affect COVID-19 incidence in Nigeria. Our findings show that besides the remarkable spatial variation in COVID-19 incidence and mortality, obesity was a significant predictor of COVID-19 with its effect strongest in southwest Nigeria and other parts of the country. The conclusion of the paper is that areas with high prevalence of pre-existing medical conditions coincide with areas with high COVID-19 incidence and fatality. We recommended that there should be a spatially explicit intervention on the reduction of exposure to COVID-19 among states with high prevalence of pre-existing medical conditions through vaccination.https://doi.org/10.1515/openhe-2022-0007covid-19obesitygeospatial analysisvaccinationpre-existing medical conditionsnigeria |
| spellingShingle | Osayomi Tolulope Adeleke Richard Yaya Sanni Ayanda Joy Temitope Akpoterai Lawrence Enejeta Fatayo Opeyemi Caleb Do pre-existing medical conditions affect COVID-19 incidence and fatality in Nigeria? A Geographical Perspective Open Health covid-19 obesity geospatial analysis vaccination pre-existing medical conditions nigeria |
| title | Do pre-existing medical conditions affect COVID-19 incidence and fatality in Nigeria? A Geographical Perspective |
| title_full | Do pre-existing medical conditions affect COVID-19 incidence and fatality in Nigeria? A Geographical Perspective |
| title_fullStr | Do pre-existing medical conditions affect COVID-19 incidence and fatality in Nigeria? A Geographical Perspective |
| title_full_unstemmed | Do pre-existing medical conditions affect COVID-19 incidence and fatality in Nigeria? A Geographical Perspective |
| title_short | Do pre-existing medical conditions affect COVID-19 incidence and fatality in Nigeria? A Geographical Perspective |
| title_sort | do pre existing medical conditions affect covid 19 incidence and fatality in nigeria a geographical perspective |
| topic | covid-19 obesity geospatial analysis vaccination pre-existing medical conditions nigeria |
| url | https://doi.org/10.1515/openhe-2022-0007 |
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