A control framework to optimize public health policies in the course of the COVID‑19 pandemic
| Autor(a) principal: | |
|---|---|
| Data de Publicação: | 2021 |
| Outros Autores: | , , , , , , , , , |
| Tipo de documento: | Artigo |
| Idioma: | eng |
| Título da fonte: | Repositório Institucional da FIOCRUZ (ARCA) |
| Texto Completo: | https://www.arca.fiocruz.br/handle/icict/48693 |
Resumo: | CNPq (process number 201143/2019-4) |
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Pataro, Igor M. L.Oliveira, Juliane F.Morato, Marcelo M.Amad, Alan A. S.Ramos, Pablo I. P.Pereira, Felipe A. C.Silva, Mateus S.Jorge, Daniel C. P.Andrade, Roberto F. S.Barreto, Mauricio LimaCosta, Marcus Americano da2021-08-20T19:46:28Z2021-08-20T19:46:28Z2021PATARO, Igor M. L. et al. A control framework to optimize public health policies in the course of the COVID‑19 pandemic. Scientific Reports, v. 11, n. 13403, p. 1-13, 28 June 2021.2045-2322https://www.arca.fiocruz.br/handle/icict/4869310.1038/s41598-021-92636-8CNPq (process number 201143/2019-4)Center of Data and Knowledge Integration for Health (CIDACS) through the Zika PlatformEngineering and Physical Sciences Research Council (EPSRC) in the form of grant EP/R002134/1National Institute of Science and Technology—Complex Systems from CNPq, BrazilCNPq (process number 117790/2020-6)Scientific Initiation scholarship from CNPq (process number 117568/2019-8)University of Almería. Department of Informatics. Almería, Spain.Fundação Oswaldo Cruz. Instituto Gonçalo Moniz. Centro de Integração de Dados e Conhecimentos para Saúde. Salvador, BA, Brasil / Universidade do Porto. Faculdade de Ciências. Centro de Matemática. Departamento de Matemática. Porto, Portugal.Universidade Federal de Santa Catarina. Centro Tecnológico. Departamento de Automação e Sistemas. Florianópolis, SC, Brasil.Swansea University. College of Engineering. Swansea, Wales, United Kingdom.Fundação Oswaldo Cruz. Instituto Gonçalo Moniz. Centro de Integração de Dados e Conhecimentos para Saúde. Salvador, BA, Brasil.Universidade de São Paulo. Instituto de Física. São Paulo, SP, Brasil.Universidade Federal da Bahia. Instituto de Física. Salvador, BA, Brasil.Universidade Federal da Bahia. Instituto de Física. Salvador, BA, Brasil.Fundação Oswaldo Cruz. Instituto Gonçalo Moniz. Centro de Integração de Dados e Conhecimentos para Saúde. Salvador, BA, Brasil / Universidade Federal da Bahia. Instituto de Física. Salvador, BA, Brasil.Fundação Oswaldo Cruz. Instituto Gonçalo Moniz. Centro de Integração de Dados e Conhecimentos para Saúde. Salvador, BA, Brasil / Universidade Federal da Bahia. Instituto de Saúde Coletiva. Salvador, BA, Brasil.Universidade Federal da Bahia. Escola Politécnica. Departamento de Engenharia Química. Salvador, BA, Brasil.The SARS-CoV-2 pandemic triggered substantial economic and social disruptions. Mitigation policies varied across countries based on resources, political conditions, and human behavior. In the absence of widespread vaccination able to induce herd immunity, strategies to coexist with the virus while minimizing risks of surges are paramount, which should work in parallel with reopening societies. To support these strategies, we present a predictive control system coupled with a nonlinear model able to optimize the level of policies to stop epidemic growth. We applied this system to study the unfolding of COVID-19 in Bahia, Brazil, also assessing the efects of varying population compliance. We show the importance of fnely tuning the levels of enforced measures to achieve SARS-CoV-2 containment, with periodic interventions emerging as an optimal control strategy in the long-term.engNature ResearchSARS-CoV-2PandemiaVacinaçãoEstratégias de saúdeCOVID-19SARS-CoV-2PandemicsVaccinationHealth strategiesCOVID-19A control framework to optimize public health policies in the course of the COVID‑19 pandemicinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da FIOCRUZ (ARCA)instname:Fundação Oswaldo Cruz (FIOCRUZ)instacron:FIOCRUZLICENSElicense.txtlicense.txttext/plain; charset=utf-83097https://www.arca.fiocruz.br/bitstream/icict/48693/1/license.txt36b51ef91c52b5338d9d29ba0cc807bcMD51ORIGINALPataro, Igor M.L. A control....pdfPataro, Igor M.L. 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| dc.title.en.fl_str_mv |
A control framework to optimize public health policies in the course of the COVID‑19 pandemic |
| title |
A control framework to optimize public health policies in the course of the COVID‑19 pandemic |
| spellingShingle |
A control framework to optimize public health policies in the course of the COVID‑19 pandemic Pataro, Igor M. L. SARS-CoV-2 Pandemia Vacinação Estratégias de saúde COVID-19 SARS-CoV-2 Pandemics Vaccination Health strategies COVID-19 |
| title_short |
A control framework to optimize public health policies in the course of the COVID‑19 pandemic |
| title_full |
A control framework to optimize public health policies in the course of the COVID‑19 pandemic |
| title_fullStr |
A control framework to optimize public health policies in the course of the COVID‑19 pandemic |
| title_full_unstemmed |
A control framework to optimize public health policies in the course of the COVID‑19 pandemic |
| title_sort |
A control framework to optimize public health policies in the course of the COVID‑19 pandemic |
| author |
Pataro, Igor M. L. |
| author_facet |
Pataro, Igor M. L. Oliveira, Juliane F. Morato, Marcelo M. Amad, Alan A. S. Ramos, Pablo I. P. Pereira, Felipe A. C. Silva, Mateus S. Jorge, Daniel C. P. Andrade, Roberto F. S. Barreto, Mauricio Lima Costa, Marcus Americano da |
| author_role |
author |
| author2 |
Oliveira, Juliane F. Morato, Marcelo M. Amad, Alan A. S. Ramos, Pablo I. P. Pereira, Felipe A. C. Silva, Mateus S. Jorge, Daniel C. P. Andrade, Roberto F. S. Barreto, Mauricio Lima Costa, Marcus Americano da |
| author2_role |
author author author author author author author author author author |
| dc.contributor.author.fl_str_mv |
Pataro, Igor M. L. Oliveira, Juliane F. Morato, Marcelo M. Amad, Alan A. S. Ramos, Pablo I. P. Pereira, Felipe A. C. Silva, Mateus S. Jorge, Daniel C. P. Andrade, Roberto F. S. Barreto, Mauricio Lima Costa, Marcus Americano da |
| dc.subject.other.pt_BR.fl_str_mv |
SARS-CoV-2 Pandemia Vacinação Estratégias de saúde COVID-19 |
| topic |
SARS-CoV-2 Pandemia Vacinação Estratégias de saúde COVID-19 SARS-CoV-2 Pandemics Vaccination Health strategies COVID-19 |
| dc.subject.en.pt_BR.fl_str_mv |
SARS-CoV-2 Pandemics Vaccination Health strategies COVID-19 |
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CNPq (process number 201143/2019-4) |
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2021 |
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2021-08-20T19:46:28Z |
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2021-08-20T19:46:28Z |
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2021 |
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PATARO, Igor M. L. et al. A control framework to optimize public health policies in the course of the COVID‑19 pandemic. Scientific Reports, v. 11, n. 13403, p. 1-13, 28 June 2021. |
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https://www.arca.fiocruz.br/handle/icict/48693 |
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2045-2322 |
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10.1038/s41598-021-92636-8 |
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PATARO, Igor M. L. et al. A control framework to optimize public health policies in the course of the COVID‑19 pandemic. Scientific Reports, v. 11, n. 13403, p. 1-13, 28 June 2021. 2045-2322 10.1038/s41598-021-92636-8 |
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