Sistema de Monitoramento Inteligente da COVID-19 em SP
Resumo
São Paulo was one of the first states affected by COVID-19 in Brazil. The Intelligent Monitoring System (SIMI) was an important milestone to face the pandemic, whose mission was to consolidate and integrate data on vehicular and people mobility, epidemiological situation, and economic status to support the state government in its strategic decisions. Overcoming the challenges of integration, anonymity, privacy, and multidisciplinarity were essential to provide results for analyzing scenarios and better information for decision-making. SIMI indicators impacted the entire São Paulo society, which defined criteria for flexibilization or restriction of economic sectors or supporting strategic changes to face the pandemic.
Palavras-chave:
COVID-19, Business Intelligence, IoT, BigData, Data visualization
Referências
Arthur de M. Del Esposte and et al. 2019. Design and evaluation of a scalable smart city software platform with large-scale simulations. Future Generation Computer Systems 93 (2019), 427–441. https://doi.org/10.1016/j.future.2018.10.026
Rajvikram Madurai Elavarasan and Rishi Pugazhendhi. 2020. Restructured society and environment: A review on potential technological strategies to control the COVID-19 pandemic. Science of The Total Environment 725 (2020).
Alexandre Gori Maia, Leticia Marteleto, Cristina Guimarães Rodrigues, and Luiz Gustavo Sereno. 2021. The short-term impacts of coronavirus quarantine in São Paulo: The health-economy trade-offs. PLOS ONE 16, 2 (02 2021), 1–18. https://doi.org/10.1371/journal.pone.0245011
Eduardo Haddad, Renato Vieira, Inácio Araújo, Silvio Ichihara, Fernando Perobelli, and Karina Bugarin. [n.d.]. Economic Impacts of the São Paulo Plan (Technical Note). TD NEREUS 7-2020. Center for Regional and Urban Economics at the University of São Paulo (NEREUS).
Moritz U. G. Kraemer, Chia-Hung Yang, Bernardo Gutierrez, and et al. 2020. The effect of human mobility and control measures on the COVID-19 epidemic in China. Science 368, 6490 (2020), 493–497. https://doi.org/10.1126/science.abb4218
Nuria Oliver, Bruno Lepri, Harald Sterly, and et al. 2020. Mobile phone data for informing public health actions across the COVID-19 pandemic life cycle. Science Advances 6, 23 (2020).
Gabriela Capobianco Palhares, Alessandro Santiago Santos, Eduardo Altomare Ariente, and Jefferson de Oliveira Gomes. [n.d.]. A privacy in times of pandemic and escalation of monitoring and tracing. Advanced Studies 34 ([n. d.]), 175–190. https://doi.org/10.1590/s0103-4014.2020.3499.011 (In Portuguese).
Alessandro Santos, Igor Teixeira, Rodrigo Neves, Icaro Gonçales, Angelina Inacio, Eduardo Ueda, Eduardo Felipe Zambom Santana, Higor Souza, and Fabio Kon. 2021. Challenges and Strategies for Information Systems in the Decision-Making Process to Face the COVID-19 Pandemic: The São Paulo Case. 630–640. https://doi.org/10.1007/978-3-030-72660-7_60
M. Sulyok and M. Walker. 2020. Community movement and COVID-19: a global study using Google’s Community Mobility Reports. Epidemiology and Infection 148 (2020), e284. https://doi.org/10.1017/S0950268820002757
Rajvikram Madurai Elavarasan and Rishi Pugazhendhi. 2020. Restructured society and environment: A review on potential technological strategies to control the COVID-19 pandemic. Science of The Total Environment 725 (2020).
Alexandre Gori Maia, Leticia Marteleto, Cristina Guimarães Rodrigues, and Luiz Gustavo Sereno. 2021. The short-term impacts of coronavirus quarantine in São Paulo: The health-economy trade-offs. PLOS ONE 16, 2 (02 2021), 1–18. https://doi.org/10.1371/journal.pone.0245011
Eduardo Haddad, Renato Vieira, Inácio Araújo, Silvio Ichihara, Fernando Perobelli, and Karina Bugarin. [n.d.]. Economic Impacts of the São Paulo Plan (Technical Note). TD NEREUS 7-2020. Center for Regional and Urban Economics at the University of São Paulo (NEREUS).
Moritz U. G. Kraemer, Chia-Hung Yang, Bernardo Gutierrez, and et al. 2020. The effect of human mobility and control measures on the COVID-19 epidemic in China. Science 368, 6490 (2020), 493–497. https://doi.org/10.1126/science.abb4218
Nuria Oliver, Bruno Lepri, Harald Sterly, and et al. 2020. Mobile phone data for informing public health actions across the COVID-19 pandemic life cycle. Science Advances 6, 23 (2020).
Gabriela Capobianco Palhares, Alessandro Santiago Santos, Eduardo Altomare Ariente, and Jefferson de Oliveira Gomes. [n.d.]. A privacy in times of pandemic and escalation of monitoring and tracing. Advanced Studies 34 ([n. d.]), 175–190. https://doi.org/10.1590/s0103-4014.2020.3499.011 (In Portuguese).
Alessandro Santos, Igor Teixeira, Rodrigo Neves, Icaro Gonçales, Angelina Inacio, Eduardo Ueda, Eduardo Felipe Zambom Santana, Higor Souza, and Fabio Kon. 2021. Challenges and Strategies for Information Systems in the Decision-Making Process to Face the COVID-19 Pandemic: The São Paulo Case. 630–640. https://doi.org/10.1007/978-3-030-72660-7_60
M. Sulyok and M. Walker. 2020. Community movement and COVID-19: a global study using Google’s Community Mobility Reports. Epidemiology and Infection 148 (2020), e284. https://doi.org/10.1017/S0950268820002757
Publicado
05/11/2021
Como Citar
SANTOS, Alessandro S.; TEIXEIRA, Igor C.; AVANÇO, Leandro; NEVES, Rodrigo; GONÇALES, Icaro; INACIO, Angelina.
Sistema de Monitoramento Inteligente da COVID-19 em SP. In: WORKSHOP DE FERRAMENTAS E APLICAÇÕES - SIMPÓSIO BRASILEIRO DE SISTEMAS MULTIMÍDIA E WEB (WEBMEDIA), 27. , 2021, Minas Gerais.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2021
.
p. 87-90.
ISSN 2596-1683.
DOI: https://doi.org/10.5753/webmedia_estendido.2021.17619.
