id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-103310-qtrquuvv	Wu, Tianzhi	Open-source analytics tools for studying the COVID-19 coronavirus outbreak	2020-02-27		.txt	text/plain	1129	85	65	To provide convenient access to epidemiological data on the coronavirus outbreak, we developed an R package, nCov2019 (https://github.com/GuangchuangYu/nCov2019). Besides detailed real-time statistics, it offers access to three data sources with detailed daily statistics from December 1, 2019, for 43 countries and more than 500 Chinese cities. We also developed a web app (http://www.bcloud.org/e/) with interactive plots and simple time-series forecasts. [3] , our web app enables users to select their regions of interest and check both the historical and real-time data. Generated by the app on February 25, 2020, Figure 2 shows that the total confirmed cases in the provinces outside Hubei are stabilizing, following a similar trend. Interestingly, daily percent changes in both confirmed cases and deaths in China are decreasing linearly except for a few outliers (see Figure 16 and 18 in Supplementary Document 2).	./cache/cord-103310-qtrquuvv.txt	./txt/cord-103310-qtrquuvv.txt