Spatial modeling of COVID-19 transmission in Bangladesh

The purpose of the research was to investigate and identify demographic risk factors behind transmission COVID-19 in Bangladesh based on spatial statistical modeling. Number confirmed cases per thousand population as dependent variable nine explanatory variables were considered. Different (i.e., Spatial Lag Error Model) non-spatial (Classic regression techniques employed detect geographical relevance potential affecting COVID-19. Results indicate that density crucial for explaining pattern Bangladesh. Auto-correlation suggests significantly clustered at a confidence interval 95%. Again, analysis also shows is an influential determinant propagation Bangladesh, with densely populated districts like Dhaka Narayanganj being among worst affected areas. findings this will help government agencies communities effective well-informed decision making order develop implement strategies contain further spread