id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-291724-bwiyp73e	Abdulmajeed, Kabir	ONLINE FORECASTING OF COVID-19 CASES IN NIGERIA USING LIMITED DATA	2020-05-08		.txt	text/plain	1920	121	57	Nonetheless, we propose an online forecasting mechanism that streams data from the Nigeria Center for Disease Control to update the parameters of an ensemble model which in turn provides updated COVID-19 forecasts every 24 hours. The ensemble algorithm presents lower and upper bounds for the total number of possible COVID-19 cases for the next day. Sample code to mine real-time COVID-19 cases in Nigeria as a Pandas data frame or Excel file has been provided in the repository. Table 4 highlights the relative strength and weaknesses of the models individually and finally; Fig. 5 presents a visual comparison of COVID-19 cases in Nigeria vs South Africa for analyzing policy impact. The objective is to establish the lower and upper bounds on the possible number of COVID-19 cases per day using a framework that automatically streams web data in real-time from reliable sources.	./cache/cord-291724-bwiyp73e.txt	./txt/cord-291724-bwiyp73e.txt