id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-348807-9xxc5hyl	Cuomo, Raphael E.	Sub-national longitudinal and geospatial analysis of COVID-19 tweets	2020-10-28		.txt	text/plain	3235	143	43	METHODS: In an effort to better understand the impacts of COVID-19, we concurrently assessed the geospatial and longitudinal distributions of Twitter messages about COVID-19 which were posted between March 3rd and April 13th and compared these results with the number of confirmed cases reported for sub-national levels of the United States. This study suggests that, across subnational areas within the United States, there exists a highly variable threshold of perceived dangerousness and/or intrusiveness required to activate outbreak-related conversations on social media platforms such as Twitter, a finding that can inform future outbreak communication and health promotion strategies. Concurrent geospatial and longitudinal analyses also indicate that predominantly rural areas of the United States increased engagement in COVID-19 social media conversations at later stages of the study timeframe. This study is unique in that it uses Twitter data as a proxy measure for assessing the concurrent longitudinal and geospatial distributions of attention to COVID-19 across local and regional communities in the United States.	./cache/cord-348807-9xxc5hyl.txt	./txt/cord-348807-9xxc5hyl.txt