Flattening the curves: on-off lock-down strategies for COVID-19 with an application to Brazil

Accepted/In Press date: 26 December 2020

e-pub ahead of print date: 6 January 2021

Published date: 6 January 2021

Additional Information: Funding Information: This study was partly supported by the Brazilian Research Council—CNPq, under grants #431215/2016-2 and #311075/2018-5 and by Coordenação de Aperfeiçoamento de Pessoal de Nível Superior—Brasil (CAPES) [Finance Code 001] and FAPERJ grant 210.251/2019—APQ1 2019 program. Funding Information: Lu?s Tarrataca is a Professor at the department of computer engineering of CEFET-RJ and a researcher at LNCC?s Quantum Computing Group in Rio de Janeiro. He received his B.Sc. (2007), M.Sc (2008) and Ph.D (2013) degrees from Instituto T?cnico / Techincal University of Lisbon. His research interests include quantum computation, quantum information, machine learning, computer vision and artificial intelligence algorithms. Claudia Mazza Dias Claudia Mazza Dias was born in Rio de Janeiro, RJ, Brazil, in 1969. She received the B.Sc. degree in Civil Engineering in 1993, and the M.Sc. and D.Sc. degrees in civil Engineering from the Federal University of Rio de Janeiro, Brazil, in 1995 and 2001, respectively. She is currently a faculty member at the Mathematical and Computational Modeling Program, and Graduate School in Mathematics at the Federal Rural University of Rio de Janeiro, Nova Igua?u, Brazil. Her research interests include mathematical biology, epidemic control problems, viral disease dynamics, models in ecology and other applications of applied mathematics. Diego Barreto Haddad was born in Niter?i, RJ, Brazil, in 1983. He received the B.Sc. degree in Electrical Engineering in 2005, and the M.Sc. and D.Sc. degrees in Electrical Engineering from the Federal University of Rio de Janeiro, Brazil, in 2008 and 2013, respectively. He is with the Federal Center for Technological Education (CEFET/RJ). His research interests include signal processing, machine learning, computer vision and adaptive filtering algorithms. Edilson Fernandes de Arruda was born in Campo Grande MS, Brazil, in 1977. He received the B.Sc. degree in Electrical Engineering from the Federal University of Mato Grosso, Cuiab?, Brazil, in 2000, and the M.Sc. and D.Sc. degrees in Electrical Engineering from the State University of Campinas, Campinas, Brazil, in 2002 and 2006, respectively. He is currently a faculty member at the Industrial Engineering Program, Alberto Luiz Coimbra Institute?Graduate School and Research in Engineering, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil. His research interests include operations research, stochastic optimal control, Markov decision processes, dynamic programming, reinforcement learning and healthcare modelling and optimisation. Publisher Copyright: © 2021, The Author(s).

Related URLs:

• https://arxiv.org/abs/2004.06916

Keywords: COVID-19, Coronavirus, Lockdown, Neural network, Quarantine, Seir models

Local EPrints ID: 444559

URI: http://eprints.soton.ac.uk/id/eprint/444559

DOI: doi:10.1186/s13362-020-00098-w

ISSN: 2190-5983

PURE UUID: d191e126-287b-47e4-b782-e21fcc8d7816

ORCID for Edilson F. Arruda: orcid.org/0000-0002-9835-352X

Date deposited: 26 Oct 2020 17:30

Last modified: 17 Mar 2024 04:04