Simulation of deterministic compartmental models for infectious diseases dynamics

Detalhes bibliográficos
Autor(a) principal: Batista,Antonio M.
Data de Publicação: 2021
Outros Autores: de Souza,Silvio L. T., Iarosz,Kelly C., Almeida,Alexandre C. L., Szezech Jr,José D., Gabrick,Enrique C., Mugnaine,Michele, dos Santos,Gefferson L., Caldas,Iberê L.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista Brasileira de Ensino de Física (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1806-11172021000100454
Resumo: Infectious diseases are caused by pathogenic microorganisms and can spread through different ways. Mathematical models and computational simulation have been used extensively to investigate the transmission and spread of infectious diseases. In other words, mathematical model simulation can be used to analyse the dynamics of infectious diseases, aiming to understand the effects and how to control the spread. In general, these models are based on compartments, where each compartment contains individuals with the same characteristics, such as susceptible, exposed, infected, and recovered. In this paper, we cast further light on some classical epidemic models, reporting possible outcomes from numerical simulation. Furthermore, we provide routines in a repository for simulations.
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spelling Simulation of deterministic compartmental models for infectious diseases dynamicsCompartmental modelcomputational simulationinfectious diseasesCOVID-19Infectious diseases are caused by pathogenic microorganisms and can spread through different ways. Mathematical models and computational simulation have been used extensively to investigate the transmission and spread of infectious diseases. In other words, mathematical model simulation can be used to analyse the dynamics of infectious diseases, aiming to understand the effects and how to control the spread. In general, these models are based on compartments, where each compartment contains individuals with the same characteristics, such as susceptible, exposed, infected, and recovered. In this paper, we cast further light on some classical epidemic models, reporting possible outcomes from numerical simulation. Furthermore, we provide routines in a repository for simulations.Sociedade Brasileira de Física2021-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1806-11172021000100454Revista Brasileira de Ensino de Física v.43 2021reponame:Revista Brasileira de Ensino de Física (Online)instname:Sociedade Brasileira de Física (SBF)instacron:SBF10.1590/1806-9126-rbef-2021-0171info:eu-repo/semantics/openAccessBatista,Antonio M.de Souza,Silvio L. T.Iarosz,Kelly C.Almeida,Alexandre C. L.Szezech Jr,José D.Gabrick,Enrique C.Mugnaine,Micheledos Santos,Gefferson L.Caldas,Iberê L.eng2021-06-28T00:00:00Zoai:scielo:S1806-11172021000100454Revistahttp://www.sbfisica.org.br/rbef/https://old.scielo.br/oai/scielo-oai.php||marcio@sbfisica.org.br1806-91261806-1117opendoar:2021-06-28T00:00Revista Brasileira de Ensino de Física (Online) - Sociedade Brasileira de Física (SBF)false
dc.title.none.fl_str_mv Simulation of deterministic compartmental models for infectious diseases dynamics
title Simulation of deterministic compartmental models for infectious diseases dynamics
spellingShingle Simulation of deterministic compartmental models for infectious diseases dynamics
Batista,Antonio M.
Compartmental model
computational simulation
infectious diseases
COVID-19
title_short Simulation of deterministic compartmental models for infectious diseases dynamics
title_full Simulation of deterministic compartmental models for infectious diseases dynamics
title_fullStr Simulation of deterministic compartmental models for infectious diseases dynamics
title_full_unstemmed Simulation of deterministic compartmental models for infectious diseases dynamics
title_sort Simulation of deterministic compartmental models for infectious diseases dynamics
author Batista,Antonio M.
author_facet Batista,Antonio M.
de Souza,Silvio L. T.
Iarosz,Kelly C.
Almeida,Alexandre C. L.
Szezech Jr,José D.
Gabrick,Enrique C.
Mugnaine,Michele
dos Santos,Gefferson L.
Caldas,Iberê L.
author_role author
author2 de Souza,Silvio L. T.
Iarosz,Kelly C.
Almeida,Alexandre C. L.
Szezech Jr,José D.
Gabrick,Enrique C.
Mugnaine,Michele
dos Santos,Gefferson L.
Caldas,Iberê L.
author2_role author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Batista,Antonio M.
de Souza,Silvio L. T.
Iarosz,Kelly C.
Almeida,Alexandre C. L.
Szezech Jr,José D.
Gabrick,Enrique C.
Mugnaine,Michele
dos Santos,Gefferson L.
Caldas,Iberê L.
dc.subject.por.fl_str_mv Compartmental model
computational simulation
infectious diseases
COVID-19
topic Compartmental model
computational simulation
infectious diseases
COVID-19
description Infectious diseases are caused by pathogenic microorganisms and can spread through different ways. Mathematical models and computational simulation have been used extensively to investigate the transmission and spread of infectious diseases. In other words, mathematical model simulation can be used to analyse the dynamics of infectious diseases, aiming to understand the effects and how to control the spread. In general, these models are based on compartments, where each compartment contains individuals with the same characteristics, such as susceptible, exposed, infected, and recovered. In this paper, we cast further light on some classical epidemic models, reporting possible outcomes from numerical simulation. Furthermore, we provide routines in a repository for simulations.
publishDate 2021
dc.date.none.fl_str_mv 2021-01-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1806-11172021000100454
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1806-11172021000100454
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/1806-9126-rbef-2021-0171
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Sociedade Brasileira de Física
publisher.none.fl_str_mv Sociedade Brasileira de Física
dc.source.none.fl_str_mv Revista Brasileira de Ensino de Física v.43 2021
reponame:Revista Brasileira de Ensino de Física (Online)
instname:Sociedade Brasileira de Física (SBF)
instacron:SBF
instname_str Sociedade Brasileira de Física (SBF)
instacron_str SBF
institution SBF
reponame_str Revista Brasileira de Ensino de Física (Online)
collection Revista Brasileira de Ensino de Física (Online)
repository.name.fl_str_mv Revista Brasileira de Ensino de Física (Online) - Sociedade Brasileira de Física (SBF)
repository.mail.fl_str_mv ||marcio@sbfisica.org.br
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