id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-185121-f6vjm4j4	Paiva, Henrique Mohallem	A computational tool for trend analysis and forecast of the COVID-19 pandemic	2020-10-20		.txt	text/plain	7047	367	57	Country-wise data from the European Centre for Disease Prevention and Control (ECDC) concerning the daily number of cases and demises around the world are used, as well as detailed data from Johns Hopkins University and from the Brasil.io project describing individually the occurrences in United States counties and in Brazilian states and cities, respectively. Conclusion: The main contributions of this work lie in (i) a straightforward model of the curves to represent the data, which allows automation of the process without requiring interventions from experts; (ii) an innovative approach for trend analysis, whose results provide important information to support authorities in their decision-making process; and (iii) the developed computational tool, which is freely available and allows the user to quickly update the COVID-19 analyses and forecasts for any country, United States county or Brazilian state or city present in the periodic reports from the authorities.	./cache/cord-185121-f6vjm4j4.txt	./txt/cord-185121-f6vjm4j4.txt