id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-207989-hn37wkhf	Bras, Pierre Le	Visualising COVID-19 Research	2020-05-13		.txt	text/plain	4139	235	51	In this paper, we develop a novel automated theme-based visualisation method, combining advanced data modelling of large corpora, information mapping and trend analysis, to provide a top-down and bottom-up browsing and search interface for quick discovery of topics and research resources. The results reveal intriguing information including increased efforts in topics such as social distancing; cross-domain initiatives (e.g. mental health and education); evolving research in medical topics; and the unfolding trajectory of the virus in different territories through publications. We believe our methodology will improve future large volume visualisation and discovery systems but also hope our visualisation interfaces will currently aid scientists, researchers, and the general public to tackle the numerous issues in the fight against the COVID-19 pandemic. (2) We develop COVID-19 research information mapping and trend analysis to provide a top-down and bottom-up browsing and search interface for quick discovery of topics and resources.	./cache/cord-207989-hn37wkhf.txt	./txt/cord-207989-hn37wkhf.txt