id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-262003-vjqqtqd6	DUTRA, J. C. S.	Monitoring and forecasting the number of reported and unreported cases of the COVID-19 epidemic in Brazil using Particle Filter	2020-05-29		.txt	text/plain	5880	335	55	Here, using the available data of infected individuals in Brazil, we aim at solving a joint estimation of states and parameters (namely τ 0 , f 0 and µ for the SIRU model) in order to assess the COVID-19 spread and, hence, to be able to predict locally the future progression of the pandemic. In addition, a is related to a discount factor δ as follows, [27] a = 3δ − 1 2δ (17) where 0.95 < δ < 0.99 The general particle filter algorithm for combined estimation of parameters and state variables in time step k − 1, based on the measurements available in time k is given below, [27] 4 Numerical results and discussion In all simulations presented here, we assumed the estimates 1/ν = 6.20798 and 1/η = 11.2784 days [5] for the average times in the model, and also set S 0 = 210.15 · 10 6 as the total of susceptible individuals in Brazil.	./cache/cord-262003-vjqqtqd6.txt	./txt/cord-262003-vjqqtqd6.txt