It has been more than 10 months since the first COVID-19 case was reported in Wuhan, China, still menacing the world with a possible second wave . This study aimed to analyze how meteorological variables can affect the spread of local COVID-19 transmission in Bangladesh . Nine spatial units were considered from a meteorological standpoint to characterize COVID-19 transmission in Bangladesh . The daily COVID-19 incidence and meteorological variable (e.g., mean temperature, relative humidity, precipitation, and wind speed) data from April 5 to September 20 , 2020, were collected . The Spearman rank correlation, heat maps, and multivariate quasi-Poisson regression were employed to understand their association . The effect of meteorological variables on COVID-19 transmission was modeled using a lag period of 10 days . Results showed that mean temperature, relative humidity, and wind speed are substantially associated with an increased risk of COVID-19 . On the other hand, daily precipitation is significantly associated with a decreased risk of COVID-19 incidence . The relative risks (RR) of mean temperature for daily COVID-19 incidences were 1.222 (95% confidence interval [CI], 1.214-1.232). For wind speed, the RR was 1.087 (95% CI , 1.083-1.090). For relative humidity, the RR was 1.027 (95% CI , 1.025-1.029). Overall, this study found the profound effect of meteorological parameters on COVID-19 incidence across selected nine areas in Bangladesh . This study is probably the first study to explore the impact of region-specific meteorological conditions on COVID-19 incidence in Bangladesh . Moreover, adjustments on the areal-aggregated and regional levels were made for three confounding factors, including lockdown, population density, and potential seasonal effects . The study's findings suggest that SARS-CoV-2 can be transmitted in high temperatures and humidity conditions, which contradicts many other countries' prior studies . The research outcomes will provide implications for future control and prevention measures in Bangladesh and other countries with similar climate conditions and population density.