id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-276177-hhmd8ilk	Islam, Abu Reza Md. Towfiqul	Are meteorological factors enhancing COVID-19 transmission in Bangladesh? Novel findings from a compound Poisson generalized linear modeling approach	2020-10-28		.txt	text/plain	6426	342	53	Since there is a close association between other viral infection cases by epidemics and environmental factors, this study intends to unveil meteorological effects on the outbreak of COVID-19 across eight divisions of Bangladesh from March to April 2020. Thus, the objectives of the current study were to investigate the effects of meteorological factors on COVID-19 confirmed cases and deaths in Bangladesh using compound Poisson generalized linear modeling (CPGLM), a unique approach across the eight divisions of Bangladesh along with the Monte-Carlo method and random forest (RF) model. We employed the compound Poisson generalized linear model (CPGLMs) for exploring the relationship between daily meteorological variables (TDN, MT, NHR, MRH, AH, and rainfall), and daily confirmed cases from COVID-19 across Bangladesh from March 8 to April 30, 2020. Many studies have reported that temperature and relative humidity are the most contributing climatic variables influencing COVID-19 cases in other countries Shi et al.	./cache/cord-276177-hhmd8ilk.txt	./txt/cord-276177-hhmd8ilk.txt