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dc.contributor.author
Joseph Frédéric, Bonnans
dc.contributor.author
Gianatti, Justina
dc.date.available
2023-01-27T15:50:24Z
dc.date.issued
2020-09
dc.identifier.citation
Joseph Frédéric, Bonnans; Gianatti, Justina; Optimal control techniques based on infection age for the study of the COVID-19 epidemic; EDP Sciences; Mathematical Modelling of Natural Phenomena; 15; 9-2020; 1-17
dc.identifier.issn
0973-5348
dc.identifier.uri
http://hdl.handle.net/11336/185948
dc.description.abstract
We propose a model for the COVID-19 epidemic where the population is partitioned into classes corresponding to ages (that remain constant during the epidemic). The main feature is to take into account the infection age of the infected population. This allows to better simulate the infection propagation that crucially depend on the infection age. We discuss how to estimate the coefficients from data available in the future, and introduce a confinement variable as control. The cost function is a compromise between a confinement term, the hospitalization peak and the death toll. Our numerical experiments allow to evaluate the interest of confinement varying with age classes.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
EDP Sciences
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
AGE-STRUCTURED SYSTEMS
dc.subject
CONFINEMENT
dc.subject
COVID-19
dc.subject
EPIDEMIC MODELING
dc.subject
OPTIMAL CONTROL
dc.subject.classification
Matemática Aplicada
dc.subject.classification
Matemáticas
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS
dc.title
Optimal control techniques based on infection age for the study of the COVID-19 epidemic
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2023-01-26T17:26:37Z
dc.identifier.eissn
1760-6101
dc.journal.volume
15
dc.journal.pagination
1-17
dc.journal.pais
Francia
dc.description.fil
Fil: Joseph Frédéric, Bonnans. Institut National de Recherche en Informatique et en Automatique; Francia
dc.description.fil
Fil: Gianatti, Justina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Centro Internacional Franco Argentino de Ciencias de la Información y de Sistemas. Universidad Nacional de Rosario. Centro Internacional Franco Argentino de Ciencias de la Información y de Sistemas; Argentina
dc.journal.title
Mathematical Modelling of Natural Phenomena
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.mmnp-journal.org/10.1051/mmnp/2020035
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1051/mmnp/2020035
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