tetano
Editor, Senior Moderator
Comput Math Methods Med
. 2020 Sep 30;2020:9017157.
doi: 10.1155/2020/9017157. eCollection 2020.
A Mathematical Description of the Dynamics of Coronavirus Disease 2019 (COVID-19): A Case Study of Brazil
Pedro V Savi[SUP] 1 [/SUP], Marcelo A Savi[SUP] 1 [/SUP], Beatriz Borges[SUP] 1 [/SUP]
Affiliations
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.
. 2020 Sep 30;2020:9017157.
doi: 10.1155/2020/9017157. eCollection 2020.
A Mathematical Description of the Dynamics of Coronavirus Disease 2019 (COVID-19): A Case Study of Brazil
Pedro V Savi[SUP] 1 [/SUP], Marcelo A Savi[SUP] 1 [/SUP], Beatriz Borges[SUP] 1 [/SUP]
Affiliations
- PMID: 33029196
- PMCID: PMC7528041
- DOI: 10.1155/2020/9017157
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.