id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
cord-270519-orh8fd1c	Oliveira, A. C. S. d.	Bayesian modeling of COVID-19 cases with a correction to account for under-reported cases	2020-05-25		.txt	text/plain	4265	177	50	key: cord-270519-orh8fd1c authors: Oliveira, A. C. S. d.; Morita, L. H. M.; da Silva, E. B.; Granzotto, D. C. T.; Zardo, L. A. R.; Fontes, C. J. F. title: Bayesian modeling of COVID-19 cases with a correction to account for under-reported cases date: 2020-05-25 journal: nan DOI: 10.1101/2020.05.24.20112029 sha: doc_id: 270519 cord_uid: orh8fd1c The novel of COVID-19 disease started in late 2019 making the worldwide governments came across a high number of critical and death cases, beyond constant fear of the collapse in their health systems. To address these issues, we introduce a Bayesian approach to the SIR model with correction for under-reporting in the analysis of COVID-19 cases in Brazil.	cache/cord-270519-orh8fd1c.txt	txt/cord-270519-orh8fd1c.txt
