Dynamics of Dengue epidemics using optimal control

Detalhes bibliográficos
Autor(a) principal: Rodrigues, Helena Sofia
Data de Publicação: 2010
Outros Autores: Monteiro, M. Teresa T., Torres, Delfim F. M.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Texto Completo: https://hdl.handle.net/1822/14474
Resumo: We present an application of optimal control theory to Dengue epidemics. This epidemiologic disease is important in tropical countries due to the growing number of infected individuals. The dynamic model is described by a set of nonlinear ordinary differential equations, that depend on the dynamics of the Dengue mosquito, the number of infected individuals, and people's motivation to combat the mosquito. The cost functional depends not only on the costs of medical treatment of the infected people but also on the costs related to educational and sanitation campaigns. Two approaches for solving the problem are considered: one using optimal control theory, the other carried out by first discretizing the problem and then solving it with nonlinear programming. The results obtained with OC-ODE and IPOPT solvers are given and discussed. We observe that with current computational tools it is easy to obtain, in an efficient way, better solutions to Dengue problems, leading to a decrease in the number of infected mosquitoes and individuals in less time and with lower costs.
id RCAP_32cef8f14d25db3f6ec5a226ab5252d9
oai_identifier_str oai:repositorium.sdum.uminho.pt:1822/14474
network_acronym_str RCAP
network_name_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository_id_str https://opendoar.ac.uk/repository/7160
spelling Dynamics of Dengue epidemics using optimal controlOptimal controlDengueNonlinear programmingWe present an application of optimal control theory to Dengue epidemics. This epidemiologic disease is important in tropical countries due to the growing number of infected individuals. The dynamic model is described by a set of nonlinear ordinary differential equations, that depend on the dynamics of the Dengue mosquito, the number of infected individuals, and people's motivation to combat the mosquito. The cost functional depends not only on the costs of medical treatment of the infected people but also on the costs related to educational and sanitation campaigns. Two approaches for solving the problem are considered: one using optimal control theory, the other carried out by first discretizing the problem and then solving it with nonlinear programming. The results obtained with OC-ODE and IPOPT solvers are given and discussed. We observe that with current computational tools it is easy to obtain, in an efficient way, better solutions to Dengue problems, leading to a decrease in the number of infected mosquitoes and individuals in less time and with lower costs.Fundação para a Ciência e a Tecnologia (FCT)ElsevierUniversidade do MinhoRodrigues, Helena SofiaMonteiro, M. Teresa T.Torres, Delfim F. M.2010-112010-11-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/1822/14474eng0895-7177Doi:10.1016/j.mcm.2010.06.034info:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-04-12T04:31:38Zoai:repositorium.sdum.uminho.pt:1822/14474Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T15:19:52.722962Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv Dynamics of Dengue epidemics using optimal control
title Dynamics of Dengue epidemics using optimal control
spellingShingle Dynamics of Dengue epidemics using optimal control
Rodrigues, Helena Sofia
Optimal control
Dengue
Nonlinear programming
title_short Dynamics of Dengue epidemics using optimal control
title_full Dynamics of Dengue epidemics using optimal control
title_fullStr Dynamics of Dengue epidemics using optimal control
title_full_unstemmed Dynamics of Dengue epidemics using optimal control
title_sort Dynamics of Dengue epidemics using optimal control
author Rodrigues, Helena Sofia
author_facet Rodrigues, Helena Sofia
Monteiro, M. Teresa T.
Torres, Delfim F. M.
author_role author
author2 Monteiro, M. Teresa T.
Torres, Delfim F. M.
author2_role author
author
dc.contributor.none.fl_str_mv Universidade do Minho
dc.contributor.author.fl_str_mv Rodrigues, Helena Sofia
Monteiro, M. Teresa T.
Torres, Delfim F. M.
dc.subject.por.fl_str_mv Optimal control
Dengue
Nonlinear programming
topic Optimal control
Dengue
Nonlinear programming
description We present an application of optimal control theory to Dengue epidemics. This epidemiologic disease is important in tropical countries due to the growing number of infected individuals. The dynamic model is described by a set of nonlinear ordinary differential equations, that depend on the dynamics of the Dengue mosquito, the number of infected individuals, and people's motivation to combat the mosquito. The cost functional depends not only on the costs of medical treatment of the infected people but also on the costs related to educational and sanitation campaigns. Two approaches for solving the problem are considered: one using optimal control theory, the other carried out by first discretizing the problem and then solving it with nonlinear programming. The results obtained with OC-ODE and IPOPT solvers are given and discussed. We observe that with current computational tools it is easy to obtain, in an efficient way, better solutions to Dengue problems, leading to a decrease in the number of infected mosquitoes and individuals in less time and with lower costs.
publishDate 2010
dc.date.none.fl_str_mv 2010-11
2010-11-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://hdl.handle.net/1822/14474
url https://hdl.handle.net/1822/14474
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 0895-7177
Doi:10.1016/j.mcm.2010.06.034
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron:RCAAP
instname_str FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron_str RCAAP
institution RCAAP
reponame_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
collection Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository.name.fl_str_mv Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
repository.mail.fl_str_mv info@rcaap.pt
_version_ 1833595248036544512