id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-329412-pzv4dzow	Massaad, Elie	Social Media Data Analytics on Telehealth During the COVID-19 Pandemic	2020-04-26		.txt	text/plain	1655	93	48	Methods: We inquired Twitter public data to access tweets related to telehealth from March 30, 2020 to April 6, 2020. The most common terms appearing alongside 'telehealth' were "covid", "health", "care", "services", "patients", and "pandemic". The geographic distribution of tweets related to telehealth and having a specific location within the United States (n=19,367) was significantly associated with the number of confirmed Covid-19 cases reported in each state (p<0.001). Our study aims to analyze the dynamics of social media data related to telehealth and understand the public activity to strategically optimize and accelerate the digital health transformation. The 10 most common words apart from "telehealth" that appeared in these tweets were "COVID", "health", "care", "services", "patients", "pandemic", "coronavirus", "healthcare", "access", "need". In this study, we retrieved and analyzed public data available on Twitter to investigate the rapid shift in telehealth adoption amidst the recent coronavirus Covid-19 pandemics.	./cache/cord-329412-pzv4dzow.txt	./txt/cord-329412-pzv4dzow.txt