id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
cord-346185-qmu1mrmx	Velásquez, Ricardo Manuel Arias	Forecast and evaluation of COVID-19 spreading in USA with Reduced-space Gaussian process regression	2020-05-22		.txt	text/plain	1125	44	46	key: cord-346185-qmu1mrmx authors: Velásquez, Ricardo Manuel Arias; Lara, Jennifer Vanessa Mejia title: Forecast and evaluation of COVID-19 spreading in USA with Reduced-space Gaussian process regression date: 2020-05-22 journal: Chaos Solitons Fractals DOI: 10.1016/j.chaos.2020.109924 sha: doc_id: 346185 cord_uid: qmu1mrmx In this report, we analyze historical and forecast infections for COVID-19 death based on Reduced-Space Gaussian Process Regression associated to chaotic Dynamical Systems with information obtained in 82 days with continuous learning, day by day, from January 21(th), 2020 to April 12(th). Late on January, USA confirmed the first patient with COVID-19, who had recently traveled to China, however, an evaluation of states in USA have demonstrated a fatality rate in China (4%) is lower than New York (4.56%), but lower than Michigan (5.69%).	cache/cord-346185-qmu1mrmx.txt	txt/cord-346185-qmu1mrmx.txt
