Abstract
AbstractClinical 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.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
