id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-346247-5jwbg6bc	Awasthi, Amit	Statistical interpretation of environmental influencing parameters on COVID-19 during the lockdown in Delhi, India	2020-09-25		.txt	text/plain	3962	219	55	In this study, the COVID-19 connection with various weather parameters like temperature, wind speed, and relative humidity is investigated and the future scenario of COVID-19 is predicted based on the Gaussian model (GM). Based on statistical analysis, this has been observed that the temperature parameter shows a significant positive trend during the period of study. To predict the future scenario of COVID-19, this is not appropriate to use an exponential equation, because an exponential growth represents a continuous increase, whereas in the pandemic scenario, the number of cases will indeed increase rapidly up to certain days or months, afterward the value will start to decrease after forming a peak. ;R 2 = 0.997 Fig. 5 Daily variation in confirmed COVID-19 cases the fitted GM, it is predicted that the maximum number of cases is observed during the time range of 166.15 ± 36 days.	./cache/cord-346247-5jwbg6bc.txt	./txt/cord-346247-5jwbg6bc.txt