id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-336714-brurrmi4	De Brouwer, Edward	Modeling the COVID-19 outbreaks and the effectiveness of the containment measures adopted across countries	2020-04-04		.txt	text/plain	5553	249	56	In this study, we use a Bayesian SEIR epidemiological model to perform a parametric regression over the COVID-19 outbreaks data in China, Italy, Belgium, and Spain, and estimate the effect of the containment measures on the basic reproduction ratio R_0. In this study, we collected the publicly available data regarding cases, recovered and deaths related to the COVID-19 epidemics in China, Italy, Belgium and Spain and we trained a Bayesian SEIR model to perform a parametric regression on these time series. We performed a parametric Bayesian regression (see Methods) on the mainland China COVID-19 epidemic data by training a SEIR model on the cumulative cases time series, with the goal of inferring the change in R 0 = β/γ produced by the increasingly stringent containment measures introduced by the Chinese government, which mainly aim at reducing the frequency of the contacts β −1 between individuals.	./cache/cord-336714-brurrmi4.txt	./txt/cord-336714-brurrmi4.txt