id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
cord-317371-v7hmc9sj	Zhang, Xiaolei	Predicting turning point, duration and attack rate of COVID-19 outbreaks in major Western countries	2020-04-20		.txt	text/plain	1896	65	51	To identify the turning point and predict the further spread of COVID-19 outbreaks while accounting for governments enforcement of stay-at-home advises/orders, social distancing, lockdowns, and quarantines against COVID-19, we combine the power law with the exponential law for daily new cases based on a segmented Poisson model. Unlike the widely used log-transformed linear model, our Poisson modeling approach enables us to deal with daily new cases as a count response with many zeros.	cache/cord-317371-v7hmc9sj.txt	txt/cord-317371-v7hmc9sj.txt
