| Author | Pataro, Igor M. L. | pt_BR |
| Author | Oliveira, Juliane F. | pt_BR |
| Author | Morato, Marcelo M. | pt_BR |
| Author | Amad, Alan A. S. | pt_BR |
| Author | Ramos, Pablo I. P. | pt_BR |
| Author | Pereira, Felipe A. C. | pt_BR |
| Author | Silva, Mateus S. | pt_BR |
| Author | Jorge, Daniel C. P. | pt_BR |
| Author | Andrade, Roberto F. S. | pt_BR |
| Author | Barreto, Mauricio Lima | pt_BR |
| Author | Costa, Marcus Americano da | pt_BR |
| Access date | 2021-08-20T19:46:28Z | |
| Available date | 2021-08-20T19:46:28Z | |
| Document date | 2021 | |
| Citation | 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. | pt_BR |
| ISSN | 2045-2322 | pt_BR |
| URI | https://www.arca.fiocruz.br/handle/icict/48693 | |
| Sponsorship | CNPq (process number 201143/2019-4) | pt_BR |
| Sponsorship | Center of Data and Knowledge Integration for Health (CIDACS) through the Zika Platform | pt_BR |
| Sponsorship | Engineering and Physical Sciences Research Council (EPSRC) in the form of grant EP/R002134/1 | pt_BR |
| Sponsorship | National Institute of Science and Technology—Complex Systems from CNPq, Brazil | pt_BR |
| Sponsorship | CNPq (process number 117790/2020-6) | pt_BR |
| Sponsorship | Scientific Initiation scholarship from CNPq (process number 117568/2019-8) | pt_BR |
| Language | eng | pt_BR |
| Publisher | Nature Research | pt_BR |
| Rights | open access | pt_BR |
| Subject in Portuguese | SARS-CoV-2 | pt_BR |
| Subject in Portuguese | Pandemia | pt_BR |
| Subject in Portuguese | Vacinação | pt_BR |
| Subject in Portuguese | Estratégias de saúde | pt_BR |
| Subject in Portuguese | COVID-19 | pt_BR |
| Title | A control framework to optimize public health policies in the course of the COVID‑19 pandemic | en |
| Type | Article | pt_BR |
| DOI | 10.1038/s41598-021-92636-8 | pt_BR |
| Abstract | 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. | en |
| Affilliation | University of Almería. Department of Informatics. Almería, Spain. | pt_BR |
| Affilliation | 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. | pt_BR |
| Affilliation | Universidade Federal de Santa Catarina. Centro Tecnológico. Departamento de Automação e Sistemas. Florianópolis, SC, Brasil. | pt_BR |
| Affilliation | Swansea University. College of Engineering. Swansea, Wales, United Kingdom. | pt_BR |
| Affilliation | Fundação Oswaldo Cruz. Instituto Gonçalo Moniz. Centro de Integração de Dados e Conhecimentos para Saúde. Salvador, BA, Brasil. | pt_BR |
| Affilliation | Universidade de São Paulo. Instituto de Física. São Paulo, SP, Brasil. | pt_BR |
| Affilliation | Universidade Federal da Bahia. Instituto de Física. Salvador, BA, Brasil. | pt_BR |
| Affilliation | Universidade Federal da Bahia. Instituto de Física. Salvador, BA, Brasil. | pt_BR |
| Affilliation | 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. | pt_BR |
| Affilliation | 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. | pt_BR |
| Affilliation | Universidade Federal da Bahia. Escola Politécnica. Departamento de Engenharia Química. Salvador, BA, Brasil. | pt_BR |
| Subject | SARS-CoV-2 | pt_BR |
| Subject | Pandemics | pt_BR |
| Subject | Vaccination | pt_BR |
| Subject | Health strategies | pt_BR |
| Subject | COVID-19 | pt_BR |
| xmlui.metadata.dc.subject.ods | 03 Saúde e Bem-Estar | |
