Optimal Control Model for Vaccination Against H1N1 Flu
This paper introduces a mathematical model to describe the dynamics of the spread of H1N1 flu in a human population. The model is comprised of a system of ordinary differential equations that involve susceptible, exposed, infected and recovered/immune individuals. The distinguishing feature in the p...
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Universidade Estadual de Londrina
2020-06-01
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Online Access: | http://www.uel.br/revistas/uel/index.php/semexatas/article/view/40120 |
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doaj-aef7c4a37ff94167b57b571913a8462c2021-07-01T15:46:45ZengUniversidade Estadual de LondrinaSemina: Ciências Exatas e Tecnológicas1676-54511679-03752020-06-0141110511410.5433/1679-0375.2020v41n1p10520131Optimal Control Model for Vaccination Against H1N1 FluPablo Amauri Carvalho Araujo e Souza0Claudia Mazza Dias1Edilson Fernandes de Arruda2Universidade Federal do Rio de JaneiroUniversidade Federal Rural do Rio de JaneiroUniversidade Federal do Rio de JaneiroThis paper introduces a mathematical model to describe the dynamics of the spread of H1N1 flu in a human population. The model is comprised of a system of ordinary differential equations that involve susceptible, exposed, infected and recovered/immune individuals. The distinguishing feature in the proposed model with respect to other models in the literature is that it takes into account the possibility of infection due to immunity loss over time. The acquired immunity comes from self-recovery or via vaccination. Furthermore, the proposed model strives to find an optimal vaccination strategy by means of an optimal control problem and Pontryagin’s Maximum Principle.http://www.uel.br/revistas/uel/index.php/semexatas/article/view/40120optimal controlmathematical modelingpontryagin’s maximum principleh1n1 fluvaccination |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Pablo Amauri Carvalho Araujo e Souza Claudia Mazza Dias Edilson Fernandes de Arruda |
spellingShingle |
Pablo Amauri Carvalho Araujo e Souza Claudia Mazza Dias Edilson Fernandes de Arruda Optimal Control Model for Vaccination Against H1N1 Flu Semina: Ciências Exatas e Tecnológicas optimal control mathematical modeling pontryagin’s maximum principle h1n1 flu vaccination |
author_facet |
Pablo Amauri Carvalho Araujo e Souza Claudia Mazza Dias Edilson Fernandes de Arruda |
author_sort |
Pablo Amauri Carvalho Araujo e Souza |
title |
Optimal Control Model for Vaccination Against H1N1 Flu |
title_short |
Optimal Control Model for Vaccination Against H1N1 Flu |
title_full |
Optimal Control Model for Vaccination Against H1N1 Flu |
title_fullStr |
Optimal Control Model for Vaccination Against H1N1 Flu |
title_full_unstemmed |
Optimal Control Model for Vaccination Against H1N1 Flu |
title_sort |
optimal control model for vaccination against h1n1 flu |
publisher |
Universidade Estadual de Londrina |
series |
Semina: Ciências Exatas e Tecnológicas |
issn |
1676-5451 1679-0375 |
publishDate |
2020-06-01 |
description |
This paper introduces a mathematical model to describe the dynamics of the spread of H1N1 flu in a human population. The model is comprised of a system of ordinary differential equations that involve susceptible, exposed, infected and recovered/immune individuals. The distinguishing feature in the proposed model with respect to other models in the literature is that it takes into account the possibility of infection due to immunity loss over time. The acquired immunity comes from self-recovery or via vaccination. Furthermore, the proposed model strives to find an optimal vaccination strategy by means of an optimal control problem and Pontryagin’s Maximum Principle. |
topic |
optimal control mathematical modeling pontryagin’s maximum principle h1n1 flu vaccination |
url |
http://www.uel.br/revistas/uel/index.php/semexatas/article/view/40120 |
work_keys_str_mv |
AT pabloamauricarvalhoaraujoesouza optimalcontrolmodelforvaccinationagainsth1n1flu AT claudiamazzadias optimalcontrolmodelforvaccinationagainsth1n1flu AT edilsonfernandesdearruda optimalcontrolmodelforvaccinationagainsth1n1flu |
_version_ |
1721346744341495808 |