Dynamics of Dengue epidemics using optimal control
| Autor(a) principal: | |
|---|---|
| Data de Publicação: | 2010 |
| Outros Autores: | , |
| 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. |
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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 |
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info:eu-repo/semantics/openAccess |
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openAccess |
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application/pdf |
| dc.publisher.none.fl_str_mv |
Elsevier |
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Elsevier |
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RCAAP |
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Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
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Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
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Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia |
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