Simulation of the behaviour of covid-19 with the stochastic SIRD model: case of Peru

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In this work, we simulate the dynamics of COVID-19 pandemic using a deterministic SIRD model and its stochastic SIRD model version. The model is used under a closed population of 32 625 984 from the peruvian country, where the coefficient of the transmission rate, the recovery rate, the dead rate an...

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Detalles Bibliográficos
Autores: Rubio, Obidio, Quispe Sanchez, Dennis, Vergara-Moreno, Edmundo, Rubio López, Franco
Formato: artículo
Fecha de Publicación:2023
Institución:Universidad Nacional de Trujillo
Repositorio:Revistas - Universidad Nacional de Trujillo
Lenguaje:inglés
OAI Identifier:oai:ojs.revistas.unitru.edu.pe:article/5282
Enlace del recurso:https://revistas.unitru.edu.pe/index.php/SSMM/article/view/5282
Nivel de acceso:acceso abierto
Materia:COVID-19 pandemic
deterministic and stochastic model
SIRD model
simulation
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spelling Simulation of the behaviour of covid-19 with the stochastic SIRD model: case of PeruRubio, ObidioQuispe Sanchez, DennisVergara-Moreno, EdmundoRubio López, FrancoCOVID-19 pandemicdeterministic and stochastic modelSIRD modelsimulationIn this work, we simulate the dynamics of COVID-19 pandemic using a deterministic SIRD model and its stochastic SIRD model version. The model is used under a closed population of 32 625 984 from the peruvian country, where the coefficient of the transmission rate, the recovery rate, the dead rate and the initial condition are given for the data taken from the initial days reported by the first disease people in Peru.National University of Trujillo - Academic Department of Mathematics2023-06-14info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://revistas.unitru.edu.pe/index.php/SSMM/article/view/5282Selecciones Matemáticas; Vol. 10 No. 01 (2023): Special Issue; 81 - 89Selecciones Matemáticas; Vol. 10 Núm. 01 (2023): Special Issue; 81 - 89Selecciones Matemáticas; v. 10 n. 01 (2023): Special Issue; 81 - 892411-1783reponame:Revistas - Universidad Nacional de Trujilloinstname:Universidad Nacional de Trujilloinstacron:UNITRUenghttps://revistas.unitru.edu.pe/index.php/SSMM/article/view/5282/5450https://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessoai:ojs.revistas.unitru.edu.pe:article/52822023-06-20T21:59:24Z
dc.title.none.fl_str_mv Simulation of the behaviour of covid-19 with the stochastic SIRD model: case of Peru
title Simulation of the behaviour of covid-19 with the stochastic SIRD model: case of Peru
spellingShingle Simulation of the behaviour of covid-19 with the stochastic SIRD model: case of Peru
Rubio, Obidio
COVID-19 pandemic
deterministic and stochastic model
SIRD model
simulation
title_short Simulation of the behaviour of covid-19 with the stochastic SIRD model: case of Peru
title_full Simulation of the behaviour of covid-19 with the stochastic SIRD model: case of Peru
title_fullStr Simulation of the behaviour of covid-19 with the stochastic SIRD model: case of Peru
title_full_unstemmed Simulation of the behaviour of covid-19 with the stochastic SIRD model: case of Peru
title_sort Simulation of the behaviour of covid-19 with the stochastic SIRD model: case of Peru
dc.creator.none.fl_str_mv Rubio, Obidio
Quispe Sanchez, Dennis
Vergara-Moreno, Edmundo
Rubio López, Franco
author Rubio, Obidio
author_facet Rubio, Obidio
Quispe Sanchez, Dennis
Vergara-Moreno, Edmundo
Rubio López, Franco
author_role author
author2 Quispe Sanchez, Dennis
Vergara-Moreno, Edmundo
Rubio López, Franco
author2_role author
author
author
dc.subject.none.fl_str_mv COVID-19 pandemic
deterministic and stochastic model
SIRD model
simulation
topic COVID-19 pandemic
deterministic and stochastic model
SIRD model
simulation
description In this work, we simulate the dynamics of COVID-19 pandemic using a deterministic SIRD model and its stochastic SIRD model version. The model is used under a closed population of 32 625 984 from the peruvian country, where the coefficient of the transmission rate, the recovery rate, the dead rate and the initial condition are given for the data taken from the initial days reported by the first disease people in Peru.
publishDate 2023
dc.date.none.fl_str_mv 2023-06-14
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://revistas.unitru.edu.pe/index.php/SSMM/article/view/5282
url https://revistas.unitru.edu.pe/index.php/SSMM/article/view/5282
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://revistas.unitru.edu.pe/index.php/SSMM/article/view/5282/5450
dc.rights.none.fl_str_mv https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv National University of Trujillo - Academic Department of Mathematics
publisher.none.fl_str_mv National University of Trujillo - Academic Department of Mathematics
dc.source.none.fl_str_mv Selecciones Matemáticas; Vol. 10 No. 01 (2023): Special Issue; 81 - 89
Selecciones Matemáticas; Vol. 10 Núm. 01 (2023): Special Issue; 81 - 89
Selecciones Matemáticas; v. 10 n. 01 (2023): Special Issue; 81 - 89
2411-1783
reponame:Revistas - Universidad Nacional de Trujillo
instname:Universidad Nacional de Trujillo
instacron:UNITRU
instname_str Universidad Nacional de Trujillo
instacron_str UNITRU
institution UNITRU
reponame_str Revistas - Universidad Nacional de Trujillo
collection Revistas - Universidad Nacional de Trujillo
repository.name.fl_str_mv
repository.mail.fl_str_mv
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Simulation of the behaviour of covid-19 with the stochastic SIRD model: case of Peru
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