Md. Shareful Hassan|Mohammad Amir Hossain Bhuiyan|Faysal Tareq|Md. Bodrud-Doza|Saikat Mandal Tanu|Khondkar Ayaz Rabbani
Relationship between COVID-19 infection rates and air pollution, geo-meteorological, and social parameters
Jahangirnagar University|Jahangirnagar University|University of Dhaka|BRAC|Jahangirnagar University|Independent University
like infectious diseases infection rate covid19 dependent many variables order effectively prepare localized plan infectious disease management important find relationship covid19 infection rate key variables study aims understand spatial relationships covid19 infection rate key variables air pollution geometeorological social parameters dhaka bangladesh relationship analyzed using geographically weighted regression gwr model geographic information system gis means covid19 infection rate dependent variable 17 independent variables study revealed air pollution parameters like pm25 p 002 aot p 001 co p 005 water vapor p 001 o3 p 001 highly correlated covid19 infection rate geometeorological parameters like dem p 001 wind pressure p 001 lst p 004 rainfall p 001 wind speed p 003 also similarly associated social parameters like population density p 001 brickfield density p 002 poverty level p 001 showed high coefficients key independent variables covid19 infection rate significant robust relationships factors found middle southern parts city reported covid19 infection case also higher relevant agencies utilize findings formulate new smart strategies reducing infectious diseases like covid19 dhaka similar urban cities around world future studies variables including ecological meteorological economical model understand spread covid19