Control of COVID-19 Outbreak for Preventing Collapse of Healthcare Capacity based on Social Distancing, Confinement and Testing-Quarantining

Autores
Patiño, Héctor Daniel; Tosetti Sanz, Santiago Ramon; Pucheta, Julián Antonio; Rodriguez Rivero, Cristian Maximiliano
Año de publicación
2020
Idioma
español castellano
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
This work is a contribution to the call to TheIFAC-CSS Corona Control Community Project in February2020. Scientific evidence to the effectiveness of the three mainnon-pharmacological tools to mitigate a pandemic is given. Acontrol system to control the Covid-19 outbreak caused by theSars-CoV2 virus, called Coronavirus, is proposed, forpreventing collapse of the health systems and saturation ofIntensive Therapy Units (ITUs) capacity. The proposed systemis based on the three existing non-pharmacological tools for themitigation of epidemics and pandemics: social distancing,confinement and testing with isolation of a population in whichthere is community circulation of the virus. Both in the analysisand in the design of the control system, the mathematicalmodel SEIRD (Susceptible - Exposed - Infected - Recovered -Deceased) is used, which describes the dynamics of a pandemic,adjusted in this work to the behavior in space and time of theSars-CoV2. In this work the incidence and impact of testingwith isolation (or testing-quarantining) is incorporated in themodel. The proposed control system uses, as a feedback signal,the demanded quantity of critical beds and ITUs, which iscompared with the available beds capacity to generate theerror signal as input to a PID controller. As control actions,five Phases of Social Distancing and Confinement (SD&C) areproposed, which must be applied by the public authority. Thecontrol system thus generates a SD&C decision sequence orpolicy, which can be applied once a week or every fortnight.Simulation results showing the practical feasibility and goodperformance of the proposed control system are given,preventing collapse of Healthcare Capacity based on SocialDistancing, Confinement and Testing-quarantining as controlactions.
Fil: Patiño, Héctor Daniel. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Automática; Argentina
Fil: Tosetti Sanz, Santiago Ramon. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Automática; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan; Argentina
Fil: Pucheta, Julián Antonio. Universidad Nacional de Córdoba. Facultad de Cs.exactas Físicas y Naturales. Departamento de Electronica; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan; Argentina
Fil: Rodriguez Rivero, Cristian Maximiliano. University of Amsterdam; Países Bajos
2020 IEEE Congreso Bienal de Argentina (ARGENCON)
Chaco
Argentina
Institute of Electrical and Electronics Engineers
Materia
COVID-19
Epidemic Control
Control and Modeling
PID Control
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/154880
Acceder
id CONICETDig_a09503ea098ebec4d98836680daefd48
oai_identifier_str oai:ri.conicet.gov.ar:11336/154880
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Control of COVID-19 Outbreak for Preventing Collapse of Healthcare Capacity based on Social Distancing, Confinement and Testing-QuarantiningPatiño, Héctor DanielTosetti Sanz, Santiago RamonPucheta, Julián AntonioRodriguez Rivero, Cristian MaximilianoCOVID-19Epidemic ControlControl and ModelingPID Controlhttps://purl.org/becyt/ford/2.2https://purl.org/becyt/ford/2This work is a contribution to the call to TheIFAC-CSS Corona Control Community Project in February2020. Scientific evidence to the effectiveness of the three mainnon-pharmacological tools to mitigate a pandemic is given. Acontrol system to control the Covid-19 outbreak caused by theSars-CoV2 virus, called Coronavirus, is proposed, forpreventing collapse of the health systems and saturation ofIntensive Therapy Units (ITUs) capacity. The proposed systemis based on the three existing non-pharmacological tools for themitigation of epidemics and pandemics: social distancing,confinement and testing with isolation of a population in whichthere is community circulation of the virus. Both in the analysisand in the design of the control system, the mathematicalmodel SEIRD (Susceptible - Exposed - Infected - Recovered -Deceased) is used, which describes the dynamics of a pandemic,adjusted in this work to the behavior in space and time of theSars-CoV2. In this work the incidence and impact of testingwith isolation (or testing-quarantining) is incorporated in themodel. The proposed control system uses, as a feedback signal,the demanded quantity of critical beds and ITUs, which iscompared with the available beds capacity to generate theerror signal as input to a PID controller. As control actions,five Phases of Social Distancing and Confinement (SD&C) areproposed, which must be applied by the public authority. Thecontrol system thus generates a SD&C decision sequence orpolicy, which can be applied once a week or every fortnight.Simulation results showing the practical feasibility and goodperformance of the proposed control system are given,preventing collapse of Healthcare Capacity based on SocialDistancing, Confinement and Testing-quarantining as controlactions.Fil: Patiño, Héctor Daniel. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Automática; ArgentinaFil: Tosetti Sanz, Santiago Ramon. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Automática; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan; ArgentinaFil: Pucheta, Julián Antonio. Universidad Nacional de Córdoba. Facultad de Cs.exactas Físicas y Naturales. Departamento de Electronica; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan; ArgentinaFil: Rodriguez Rivero, Cristian Maximiliano. University of Amsterdam; Países Bajos2020 IEEE Congreso Bienal de Argentina (ARGENCON)ChacoArgentinaInstitute of Electrical and Electronics EngineersInstitute of Electrical and Electronics Engineers2020info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjectCongresoBookhttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/154880Control of COVID-19 Outbreak for Preventing Collapse of Healthcare Capacity based on Social Distancing, Confinement and Testing-Quarantining; 2020 IEEE Congreso Bienal de Argentina (ARGENCON); Chaco; Argentina; 2020; 1-6CONICET DigitalCONICETspainfo:eu-repo/semantics/altIdentifier/url/https://ieeexplore.ieee.org/document/9505482info:eu-repo/semantics/altIdentifier/doi/10.1109/ARGENCON49523.2020.9505482Internacionalinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:36:16Zoai:ri.conicet.gov.ar:11336/154880instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 09:36:16.638CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Control of COVID-19 Outbreak for Preventing Collapse of Healthcare Capacity based on Social Distancing, Confinement and Testing-Quarantining
title Control of COVID-19 Outbreak for Preventing Collapse of Healthcare Capacity based on Social Distancing, Confinement and Testing-Quarantining
spellingShingle Control of COVID-19 Outbreak for Preventing Collapse of Healthcare Capacity based on Social Distancing, Confinement and Testing-Quarantining
Patiño, Héctor Daniel
COVID-19
Epidemic Control
Control and Modeling
PID Control
title_short Control of COVID-19 Outbreak for Preventing Collapse of Healthcare Capacity based on Social Distancing, Confinement and Testing-Quarantining
title_full Control of COVID-19 Outbreak for Preventing Collapse of Healthcare Capacity based on Social Distancing, Confinement and Testing-Quarantining
title_fullStr Control of COVID-19 Outbreak for Preventing Collapse of Healthcare Capacity based on Social Distancing, Confinement and Testing-Quarantining
title_full_unstemmed Control of COVID-19 Outbreak for Preventing Collapse of Healthcare Capacity based on Social Distancing, Confinement and Testing-Quarantining
title_sort Control of COVID-19 Outbreak for Preventing Collapse of Healthcare Capacity based on Social Distancing, Confinement and Testing-Quarantining
dc.creator.none.fl_str_mv Patiño, Héctor Daniel
Tosetti Sanz, Santiago Ramon
Pucheta, Julián Antonio
Rodriguez Rivero, Cristian Maximiliano
author Patiño, Héctor Daniel
author_facet Patiño, Héctor Daniel
Tosetti Sanz, Santiago Ramon
Pucheta, Julián Antonio
Rodriguez Rivero, Cristian Maximiliano
author_role author
author2 Tosetti Sanz, Santiago Ramon
Pucheta, Julián Antonio
Rodriguez Rivero, Cristian Maximiliano
author2_role author
author
author
dc.subject.none.fl_str_mv COVID-19
Epidemic Control
Control and Modeling
PID Control
topic COVID-19
Epidemic Control
Control and Modeling
PID Control
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.2
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv This work is a contribution to the call to TheIFAC-CSS Corona Control Community Project in February2020. Scientific evidence to the effectiveness of the three mainnon-pharmacological tools to mitigate a pandemic is given. Acontrol system to control the Covid-19 outbreak caused by theSars-CoV2 virus, called Coronavirus, is proposed, forpreventing collapse of the health systems and saturation ofIntensive Therapy Units (ITUs) capacity. The proposed systemis based on the three existing non-pharmacological tools for themitigation of epidemics and pandemics: social distancing,confinement and testing with isolation of a population in whichthere is community circulation of the virus. Both in the analysisand in the design of the control system, the mathematicalmodel SEIRD (Susceptible - Exposed - Infected - Recovered -Deceased) is used, which describes the dynamics of a pandemic,adjusted in this work to the behavior in space and time of theSars-CoV2. In this work the incidence and impact of testingwith isolation (or testing-quarantining) is incorporated in themodel. The proposed control system uses, as a feedback signal,the demanded quantity of critical beds and ITUs, which iscompared with the available beds capacity to generate theerror signal as input to a PID controller. As control actions,five Phases of Social Distancing and Confinement (SD&C) areproposed, which must be applied by the public authority. Thecontrol system thus generates a SD&C decision sequence orpolicy, which can be applied once a week or every fortnight.Simulation results showing the practical feasibility and goodperformance of the proposed control system are given,preventing collapse of Healthcare Capacity based on SocialDistancing, Confinement and Testing-quarantining as controlactions.
Fil: Patiño, Héctor Daniel. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Automática; Argentina
Fil: Tosetti Sanz, Santiago Ramon. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Automática; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan; Argentina
Fil: Pucheta, Julián Antonio. Universidad Nacional de Córdoba. Facultad de Cs.exactas Físicas y Naturales. Departamento de Electronica; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan; Argentina
Fil: Rodriguez Rivero, Cristian Maximiliano. University of Amsterdam; Países Bajos
2020 IEEE Congreso Bienal de Argentina (ARGENCON)
Chaco
Argentina
Institute of Electrical and Electronics Engineers
description This work is a contribution to the call to TheIFAC-CSS Corona Control Community Project in February2020. Scientific evidence to the effectiveness of the three mainnon-pharmacological tools to mitigate a pandemic is given. Acontrol system to control the Covid-19 outbreak caused by theSars-CoV2 virus, called Coronavirus, is proposed, forpreventing collapse of the health systems and saturation ofIntensive Therapy Units (ITUs) capacity. The proposed systemis based on the three existing non-pharmacological tools for themitigation of epidemics and pandemics: social distancing,confinement and testing with isolation of a population in whichthere is community circulation of the virus. Both in the analysisand in the design of the control system, the mathematicalmodel SEIRD (Susceptible - Exposed - Infected - Recovered -Deceased) is used, which describes the dynamics of a pandemic,adjusted in this work to the behavior in space and time of theSars-CoV2. In this work the incidence and impact of testingwith isolation (or testing-quarantining) is incorporated in themodel. The proposed control system uses, as a feedback signal,the demanded quantity of critical beds and ITUs, which iscompared with the available beds capacity to generate theerror signal as input to a PID controller. As control actions,five Phases of Social Distancing and Confinement (SD&C) areproposed, which must be applied by the public authority. Thecontrol system thus generates a SD&C decision sequence orpolicy, which can be applied once a week or every fortnight.Simulation results showing the practical feasibility and goodperformance of the proposed control system are given,preventing collapse of Healthcare Capacity based on SocialDistancing, Confinement and Testing-quarantining as controlactions.
publishDate 2020
dc.date.none.fl_str_mv 2020
dc.type.none.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/conferenceObject
Congreso
Book
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
status_str publishedVersion
format conferenceObject
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/154880
Control of COVID-19 Outbreak for Preventing Collapse of Healthcare Capacity based on Social Distancing, Confinement and Testing-Quarantining; 2020 IEEE Congreso Bienal de Argentina (ARGENCON); Chaco; Argentina; 2020; 1-6
CONICET Digital
CONICET
url http://hdl.handle.net/11336/154880
identifier_str_mv Control of COVID-19 Outbreak for Preventing Collapse of Healthcare Capacity based on Social Distancing, Confinement and Testing-Quarantining; 2020 IEEE Congreso Bienal de Argentina (ARGENCON); Chaco; Argentina; 2020; 1-6
CONICET Digital
CONICET
dc.language.none.fl_str_mv spa
language spa
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://ieeexplore.ieee.org/document/9505482
info:eu-repo/semantics/altIdentifier/doi/10.1109/ARGENCON49523.2020.9505482
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
application/pdf
dc.coverage.none.fl_str_mv Internacional
dc.publisher.none.fl_str_mv Institute of Electrical and Electronics Engineers
publisher.none.fl_str_mv Institute of Electrical and Electronics Engineers
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
_version_ 1844613135647899648
score 13.070432

Publicaciones similares