A privacidade em tempos de pandemia e a escada de monitoramento e rastreio

Palhares, Gabriela Capobianco; Santos, Alessandro Santiago dos; Ariente, Eduardo Altomare; Gomes, Jefferson de Oliveira

doi:10.1590/s0103-4014.2020.3499.011

Cited by 8 publications

(7 citation statements)

References 1 publication

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“…Aiming to capture such an effect in the State of São Paulo, we use the isolation index provided by mobile telecommunication devices in the city of São Paulo as a proxy for the State. For this, we use the SIMI (Information System and Intelligent Monitoring), which is formed by aggregated anonymous information about mobility, health and other data of agencies and entities of the State Public Administration (Palhares et al 2020). The index produces a number in the [0, 1] interval, which in practice represents the fraction of the population that is not moved from the home Cell Site.…”

Section: Analyzing the Covid-19 Infection Rate In The State Of São Pa...mentioning

confidence: 99%

Regression model for the reported infected during emerging pandemics under the stochastic SEIR

et al. 2023

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The COVID-19 pandemic revealed the necessity of measuring the statistical relationship between the transmission rate of epidemic diseases and the social/behavioral, logistical, and economic variables of the affected region. This paper introduces a regression model to estimate the impact of such covariates on the infectious rate of epidemiological agents. Hidden logistical predictor components, such as weekly seasonality of reported data, can also be accessed with the proposed methodology. For this, we assume that the dynamics of officially reported data of emerging pandemics, related to infected groups, follows a stochastic SEIR model. The main advantage of our method is that it is based on a new three-step algorithm that combines the classical likelihood principle, the minimization of the mean squared error, and a tri-section algorithm to estimate, simultaneously, the coefficients of the covariates and the parameters of the compartmental model. Simulation studies are provided to certify the accuracy of the proposed inference methodology. The model is further applied to analyze the official statistical reports of COVID-19 data in the state of São Paulo, Brazil. Supplementary Information The online version contains supplementary material available at 10.1007/s40314-023-02241-w.

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Section: Analyzing the Covid-19 Infection Rate In The State Of São Pa...mentioning

confidence: 99%

Regression model for the reported infected during emerging pandemics under the stochastic SEIR

et al. 2023

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“…1. Escalator approach for monitoring spread of the virus [15]. This technological approach may be integrated into guidelines for privacy to avoid legal and individuals rights issues.…”

Section: Actions Privacy and Data Protection In The Pandemicmentioning

confidence: 99%

“…A legal discussion about the privacy issues in pandemic scenarios in Brazil is still ongoing. There is no consensus on points of collision between the right to privacy and fundamental rights to health and life (in their collective spheres), demanding from the public authorities the creation of weighting targets, appropriate and proportional to the well-being of all [15].…”

Section: Introductionmentioning

confidence: 99%

Challenges and Strategies for Information Systems in the Decision-Making Process to Face the COVID-19 Pandemic: The São Paulo Case

Santos

Teixeira

Neves

et al. 2021

Advances in Intelligent Systems and Computing

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The State of São Paulo was the epicenter of COVID-19 in Brazil, with a high impact on society, causing many deaths and significant losses to the economy. A milestone in confronting the pandemic was creating an Intelligent Monitoring System, whose mission was to consolidate and integrate data to support the state government in its strategic decisions. Overcoming the challenges of integration, anonymity, and privacy was essential to validate and make governmental actions legal and ethical. We present the technical aspects, the information integration and good practices in disseminating strategic data on mobility, health, and economy to support strategic decision making.

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“…Aqui surge a questão da verificação das medidas ou intensidades do "distanciamento controlado" através do monitoramento indireto das atividades de pessoas infectadas ou não segundo o teor das postagens nas redes sociais (XAVIER et al, 2020) ou através do monitoramento direto através dos telefones móveis de cada pessoa com o auxílio da infraestrutura celular (antenas) e aplicativos instalados nos dispositivos móveis com acesso ao sistema de Global Positioning System (GPS) embutido no aparelho (PALHARES et al, 2020). Em termos de eficiência, sem entrar no mérito da quebra da Bibliographie privacidade, este segundo tipo de monitoramento parece ser mais vantajoso, ao permitir acompanhar os deslocamentos no espaço, realizar estimativas de tempo e até de aglomeração (quando se tem muitos dispositivos muito próximos).…”

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“…Sabe-se que algo semelhante já está sendo feito por algumas empresas operadoras telefônicas e empresas do ramo de segurança digital, que estão vendendo informações de usuários para algumas prefeituras e unidades da federação (estados) do país (COMITRE, 2020). Governos de Coreia do Sul, Nova Zelândia e Singapura estão realizando o monitoramento e o controle de deslocamento de populações via tecnologias mencionadas acima, algo que recentemente foi tentado também pelo governo brasileiro, mas foi barrado pela justiça federal (PALHARES et al, 2020). Seja pelo governo, ou pela iniciativa privada, sabe-se que hoje, para o controle e vigilância da Covid-19, não há necessidade de dispositivos de controle utilizados nos séculos passados e nutridos pela utopia panóptica: "O panóptico contemporâneo não se limita a uma construção arquitetônica, mas sim aos rastros de dados que deixamos a partir do uso de recursos tecnológicos, como os aplicativos dos smartphones, tão comumente utilizados na sociedade em rede" (COMITRE, 2020).…”

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Análise da evolução do Sars-Cov-2 no Rio Grande do Sul e reflexões acerca do modelo de distanciamento controlado

Rodrigues¹,

Megiato²,

Dagnino³

et al. 2020

Preprint

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RESUMOA pandemia de Covid-19 chegou ao Rio Grande do Sul (RS) evidenciando a necessidade de uma abordagem multidisciplinar e sistemática, buscando respostas emergentes. A falta de uma estratégia nacional de combate ao novo coronavírus exigiu a elaboração de uma alternativa própria por parte do governo local. A opção adotada foi um modelo de distanciamento controlado, considerando a gestão do sistema de saúde, visando garantir a capacidade de atendimento dos enfermos por Covid-19 e demais doenças e propiciar o funcionamento dos setores econômicos. O presente artigo faz um apanhado geral da confirmação de casos de Covid-19 no Rio Grande do Sul, analisa a evolução da doença no período de abril a outubro de 2020 e disserta criticamente acerca do modelo de distanciamento controlado aplicado pelo governo do estado. São feitas reflexões sobre os objetivos de tal modelo, que exprimem uma tentativa de condicionamento das práticas espaciais da população, e sobre a eficiência da instrumentalização do controle social simbolizada por cores que indicam a intensidade de restrições.Palavras-chave: Covid-19; distanciamento controlado; coronavírus; Sars-Cov-2. ABSTRACTThe Covid-19 pandemic reached Rio Grande do Sul (RS), highlighting the need for a multidisciplinary and systematic approach, seeking emerging responses. The lack of a national strategy to combat the new coronavirus required the elaboration of an alternative by the local government. The option adopted was a controlled distance model, considering the health system management, aiming at guaranteeing the capacity to attend the sick due to Covid-19 and other diseases, and allowing the functioning of the economic sectors. This article provides an overview of the confirmation of cases of Covid-19 in Rio Grande do Sul, analyzes the evolution of the disease from April to October 2020, and gives a critical commentary on the controlled distance model applied by the state government. Reflections are made on the objectives of such a model, which express an attempt to condition the population’s spatial practices, and on the efficiency of the instrumentalization of social control symbolized by colors indicating the intensity of restrictions.Keywords: Covid-19; controlled distance; coronavirus; Sars-Cov-2.

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A privacidade em tempos de pandemia e a escada de monitoramento e rastreio

Cited by 8 publications

References 1 publication

Regression model for the reported infected during emerging pandemics under the stochastic SEIR

Regression model for the reported infected during emerging pandemics under the stochastic SEIR

Challenges and Strategies for Information Systems in the Decision-Making Process to Face the COVID-19 Pandemic: The São Paulo Case

Análise da evolução do Sars-Cov-2 no Rio Grande do Sul e reflexões acerca do modelo de distanciamento controlado

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