Journal
ALEXANDRIA ENGINEERING JOURNAL
Volume 60, Issue 1, Pages 559-564Publisher
ELSEVIER
DOI: 10.1016/j.aej.2020.09.034
Keywords
Mathematical modeling of COVID-19 pandemic; Numerical simulations; Intensive care units
Categories
Funding
- Agencia Estatal de Investigacion (AEI) of Spain
- European Fund for Regional Development (FEDER) [MTM2016-75140-P]
- Instituto de Salud Carlos III [COV20/00617]
- Xunta de Galicia [ED431C 2019/02]
- Portuguese Foundation for Science and Technology (FCT) [147]
- FCT
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This study presents a method to estimate the number of required beds at intensive care units in advance using a mathematical compartmental model that includes the super-spreader class. Numerical simulations were conducted to demonstrate the accuracy of the predictions compared to real data in Galicia.
By using a recent mathematical compartmental model that includes the super-spreader class and developed by Ndairou, Area, Nieto, and Torres, a procedure to estimate in advance the number of required beds at intensive care units is presented. Numerical simulations are performed to show the accuracy of the predictions as compared with the real data in Galicia. (C) 2020 The Authors. Published by Elsevier B.V. on behalf of Faculty of Engineering, Alexandria University.
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