id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-278913-u6vihq3u	Allam, Zaheer	The Rise of Machine Intelligence in the COVID-19 Pandemic and Its Impact on Health Policy	2020-07-24		.txt	text/plain	5397	214	51	For instance, despite the challenges raised earlier, some startup companies were able to use the available data from social media, airline ticketing, and medical institutions to identify that the world is experiencing a new virus outbreak days before those in medical fraternity had made similar findings (Gaille, 2019) . According to Niiler (2020) , BlueDot, whose profile is shared in the following, was able to employ the services of AIdriven algorithms, to analyze data gathered from sources such as new reports, air ticketing, and animal disease outbreaks to predict that the world is facing a new type of virus outbreak. In the recent case of COVID-19, Metabiota was in the forefront to analyze the outbreak, and during the analysis of the data, some even sourced from social media, the company was able to predict which neighboring countries were at high risk of being the next target of the virus spread, more so because the panic in Wuhan had stated to trigger some fear, forcing people to flee.	./cache/cord-278913-u6vihq3u.txt	./txt/cord-278913-u6vihq3u.txt