id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
cord-294468-0v4grqa7	Kasilingam, Dharun	Exploring the Growth of COVID‐19 Cases using Exponential Modelling Across 42 Countries and Predicting Signs of Early Containment using Machine Learning	2020-08-04		.txt	text/plain	7493	353	48	Data associated with the variables were collected from different official sources for a total of 42 counties with respect to COVID-19 infections as on 26 th March 2020. In line with the objectives of the study, classifiers were built based on a set of independent variables to predict if a country that has COVID-19 infections showed early signs of infection containment as a reflection of policy implementations and behaviour changes.	cache/cord-294468-0v4grqa7.txt	txt/cord-294468-0v4grqa7.txt
