id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-303506-rqerh2u3	Patel, V.	A call for governments to pause Twitter censorship: a cross-sectional study using Twitter data as social-spatial sensors of COVID-19/SARS-CoV-2 research diffusion	2020-05-29		.txt	text/plain	2933	187	56	Objectives: To determine whether Twitter data can be used as social-spatial sensors to show how research on COVID-19/SARS-CoV-2 diffuses through the population to reach the people that are especially affected by the disease. Mapping of worldwide data illustrated that high Twitter activity was related to high numbers of COVID-19/SARS-CoV-2 deaths, with tweets inversely weighted with number of publications. • Using Twitter data used as social-spatial sensors, we demonstrated that Twitter activity was significantly positively correlated to the numbers of COVID-19/SARS-CoV-2 deaths, when holding the country's number of publications constant. Mapping of worldwide data illustrated that high Twitter activity was related to high Conclusions: This study shows that Twitter can play a crucial role in the rapid research response during the COVID-19/SARS-CoV-2 global pandemic, especially to spread research with prompt public scrutiny.	./cache/cord-303506-rqerh2u3.txt	./txt/cord-303506-rqerh2u3.txt