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A Mathematical Description of the Dynamics of Coronavirus Disease 2019 (COVID-19): A Case Study of Brazil.
Savi, Pedro V; Savi, Marcelo A; Borges, Beatriz.
  • Savi PV; Center for Nonlinear Mechanics, COPPE-Department of Mechanical Engineering, Universidade Federal do Rio de Janeiro, 21.941.972-Rio de Janeiro-RJ, Brazil P.O. Box 68.503.
  • Savi MA; Center for Nonlinear Mechanics, COPPE-Department of Mechanical Engineering, Universidade Federal do Rio de Janeiro, 21.941.972-Rio de Janeiro-RJ, Brazil P.O. Box 68.503.
  • Borges B; Center for Nonlinear Mechanics, COPPE-Department of Mechanical Engineering, Universidade Federal do Rio de Janeiro, 21.941.972-Rio de Janeiro-RJ, Brazil P.O. Box 68.503.
Comput Math Methods Med ; 2020: 9017157, 2020.
Article in English | MEDLINE | ID: covidwho-842433
ABSTRACT
This paper deals with the mathematical modeling and numerical simulations related to the coronavirus dynamics. A description is developed based on the framework of the susceptible-exposed-infectious-removed model. Initially, a model verification is carried out calibrating system parameters with data from China, Italy, Iran, and Brazil. Results show the model capability to predict infectious evolution. Afterward, numerical simulations are performed in order to analyze different scenarios of COVID-19 in Brazil. Results show the importance of the governmental and individual actions to control the number and the period of the critical situations related to the pandemic.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Computer Simulation / Coronavirus Infections Type of study: Case report / Observational study / Prognostic study Limits: Humans Country/Region as subject: South America / Asia / Brazil / Europa Language: English Journal: Comput Math Methods Med Journal subject: Medical Informatics Year: 2020 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Computer Simulation / Coronavirus Infections Type of study: Case report / Observational study / Prognostic study Limits: Humans Country/Region as subject: South America / Asia / Brazil / Europa Language: English Journal: Comput Math Methods Med Journal subject: Medical Informatics Year: 2020 Document Type: Article