Predicting COVID-19 in very large countries: The case of Brazil

This work presents a practical proposal for estimating health system utilization for COVID-19 cases. The novel methodology developed is based on the dynamic model known as Susceptible, Infected, Removed and Dead (SIRD). The model was modified to focus on the healthcare system dynamics, rather than m...

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Bibliographic Details
Published in:	PloS one Vol. 16; no. 7; p. e0253146
Main Authors:	Parro, V C, Lafetá, M L M, Pait, F, Ipólito, F B, Toporcov, T N
Format:	Journal Article
Language:	English
Published:	United States Public Library of Science 01-07-2021 Public Library of Science (PLoS)
Subjects:	Algorithms Biology and Life Sciences Brazil - epidemiology Computer and Information Sciences Coronaviruses COVID-19 COVID-19 - epidemiology Delivery of Health Care Disease susceptibility Disease transmission Dynamic models Electrical engineering Epidemic models Epidemiology Evaluation Figure of merit Humans Machine Learning Medicine and Health Sciences Models, Statistical Optimization techniques Pandemics Parameters People and places Physical Sciences Population Public health Quality assessment Research and Analysis Methods SARS-CoV-2 - isolation & purification Severe acute respiratory syndrome coronavirus 2 Software System dynamics Time series Brazil China
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