id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-285726-eav5gr3y	Tran, B. X.	Studies of Novel Coronavirus Disease 19 (COVID-19) Pandemic: A Global Analysis of Literature	2020-05-08		.txt	text/plain	3465	251	55	. https://doi.org/10.1101/2020.05.05.20092635 doi: medRxiv preprint Cumulatively, current research evidence has partly shaped our knowledge about COVID-19, but there has been still raising more questions to address , which require sharing information and providing scientific expertise and leadership of all countries to accelerate research efforts. [21] [22] [23] In this study, by using text visualization and topic modeling approaches as a part of natural language processing and machine learning, we aimed to explore the research focus in general and in countries with different levels of income and COVID-19 transmission features. . https://doi.org/10.1101/2020.05.05.20092635 doi: medRxiv preprint By using the natural language processing approach with the Latent Dirichlet allocation, this study was able to capture the focus of COVID-19 related publications in different settings. Global researchers were currently focusing on clinical management, viral pathogenesis, and public health responses in combating against COVID-19.	./cache/cord-285726-eav5gr3y.txt	./txt/cord-285726-eav5gr3y.txt