Taye Bayode|Ayobami Abayomi Popoola|Olawale Akogun|Alexander Siegmund|Hangwelani Hope Magidimisha-Chipungu|Olusiyi Ipingbemi
Spatial variability of COVID-19 and its risk factors in Nigeria: A spatial regression method
Heidelberg University|University of KwaZulu-Natal|University of Ibadan|Heidelberg University|University of KwaZulu-Natal|University of Ibadan
novel unprecedented coronavirus disease covid19 pandemic negatively impacted nations world within short period disproportionate social spatial variability established reality nigeria yet studied paper advanced spatial statistical techniques engaged study burden covid19 risk factors within first quarter marchmay incidence nigeria spatial autocorrelation morans test reveals significant marginal cluster covid19 occurrence nigeria 011 p 005 model comparison ordinary least square ols spatial error model ser explored checked multicollinearity dataset ols model explained 64 adjusted r2 064 variation covid19 cases however significantly clustered residuals ser model performed better randomly distributed residuals significant predictors population density international airport literacy ratio furthermore study addressed spatial planning implications ongoing disease outbreak advocates transdisciplinary approach urban planning practices nigeria