Showmitra Kumar Sarkar|Khondaker Mohammed Mohiuddin Ekram|Palash Chandra Das
Spatial modeling of COVID-19 transmission in Bangladesh
Khulna University of Engineering and Technology|Khulna University of Engineering and Technology|Khulna University of Engineering and Technology
purpose research investigate identify demographic risk factors behind transmission covid19 bangladesh based spatial statistical modeling number covid19 confirmed cases per thousand population dependent variable nine demographic explanatory variables considered different spatial ie spatial lag spatial error model nonspatial classic model regression techniques employed research detect geographical relevance potential risk factors affecting transmission covid19 results indicate population density crucial explaining pattern covid19 transmission bangladesh spatial autocorrelation suggests spatial pattern population density significantly clustered confidence interval 95 regression analysis also shows population density influential determinant propagation covid19 bangladesh densely populated districts like dhaka narayanganj also among worst affected areas findings research help government agencies communities effective wellinformed decision making order develop implement strategies contain spread covid19 bangladesh