Choosing a hospital assistance ship to fight the covid-19 pandemic

Costa, Igor Pınheıro de Araújo; Maêda, Sérgio Mitihiro do Nascimento; Teixeira, Luiz Frederico de Souza de Barros Horácio; Gomes, Carlos Francısco Sımões; Santos, Marcos dos

doi:10.11606/s1518-8787.2020054002792

Cited by 43 publications

(13 citation statements)

References 17 publications

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“…One fundamental challenge resides on the strong social inequality in the country ( 31 ), and the lack of government planning to deal with this reality ( 32 ). Many Brazilian citizens do not have a fixed income and a formal job ( 33 ). Furthermore, the impact of the pandemic on income-generating activities is most severe for unprotected workers and for the most vulnerable groups in the informal economy ( 33 , 34 ).…”

Section: Discussionmentioning

confidence: 99%

“…Many Brazilian citizens do not have a fixed income and a formal job ( 33 ). Furthermore, the impact of the pandemic on income-generating activities is most severe for unprotected workers and for the most vulnerable groups in the informal economy ( 33 , 34 ). Although the Federal Government has been providing monthly aid to the most financially affected families, there are several difficulties in accessing this aid.…”

Section: Discussionmentioning

confidence: 99%

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COVID-SGIS: A Smart Tool for Dynamic Monitoring and Temporal Forecasting of Covid-19

Lima

Silva

et al. 2020

Front. Public Health

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Background: The global burden of the new coronavirus SARS-CoV-2 is increasing at an unprecedented rate. The current spread of Covid-19 in Brazil is problematic causing a huge public health burden to its population and national health-care service. To evaluate strategies for alleviating such problems, it is necessary to forecast the number of cases and deaths in order to aid the stakeholders in the process of making decisions against the disease. We propose a novel system for real-time forecast of the cumulative cases of Covid-19 in Brazil. Methods: We developed the novel COVID-SGIS application for the real-time surveillance, forecast and spatial visualization of Covid-19 for Brazil. This system captures routinely reported Covid-19 information from 27 federative units from the Brazil.io database. It utilizes all Covid-19 confirmed case data that have been notified through the National Notification System, from March to May 2020. Time series ARIMA models were integrated for the forecast of cumulative number of Covid-19 cases and deaths. These include 6-days forecasts as graphical outputs for each federative unit in Brazil, separately, with its corresponding 95% CI for statistical significance. In addition, a worst and best scenarios are presented. Results: The following federative units (out of 27) were flagged by our ARIMA models showing statistically significant increasing temporal patterns of Covid-19 cases during the specified day-to-day period: Bahia, Maranhão, Piauí, Rio Grande do Norte, Amapá, Rondônia, where their day-to-day forecasts were within the 95% CI limits. Equally, the same findings were observed for Espírito Santo, Minas Gerais, Paraná, and Santa Catarina. The overall percentage error between the forecasted values and the actual values varied between 2.56 and 6.50%. For the days when the forecasts fell outside the forecast interval, the percentage errors in relation to the worst case scenario were below 5%. Conclusion: The proposed method for dynamic forecasting may be used to guide social policies and plan direct interventions in a cost-effective, concise, and robust manner. This novel tools can play an important role for guiding the course of action against the Covid-19 pandemic for Brazil and country neighbors in South America.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

COVID-SGIS: A Smart Tool for Dynamic Monitoring and Temporal Forecasting of Covid-19

Lima

Silva

et al. 2020

Front. Public Health

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“…Soft systems methodology has been applied to understand public health system management (Raghupathi & Kesh, 2009; Silva et al., 2018), crisis management (Frajtová, 2020; Große, 2017), and COVID‐19 in reference to the selection of appropriate navy ships as treatment facilities in Brazil (Costa et al., 2020). Currently absent are studies applying soft systems methodology to understand COVID‐19 more broadly as a complex policy problem.…”

Section: The Soft Systems Approachmentioning

confidence: 99%

The COVID‐19 crisis and complexity: A soft systems approach

El-Taliawi

Hartley

2020

Contingencies & Crisis Mgmt

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The COVID‐19 pandemic is a crisis with high complexity and should be understood as such by scholarship. A complexity science approach situates increasingly divergent ideological and epistemological perspectives about the crisis within the practical exigencies of containment and mitigation measures. We ask which of the seven stages of soft systems methodology contributes to deeper understandings about COVID‐19 as a policy issue, beyond the contributions of current and conventional perspectives. The discussion outlines implications for practice and places them within broader debates about tensions between scientific facts and political values.

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“…A robustez do método em sistemas de alta complexidade fica evidenciada na pesquisa de Costa et al (2020), que lançaram mão do método THOR para a escolha de um navio de assistência hospitalar no combate à pandemia do COVID19.…”

Section: O Método Thorunclassified

Seleção Do Melhor Modelo De Lâmpada Led Para as Instalações Do Senai Cetiqt Por Meio Do Método Thor

Silva

Santos

Gomes

2020

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Self Cite

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Atualmente, a sociedade está cada vez mais preocupada com a questão ambiental, fazendo que as organizações públicas e privadas se adaptem a essa nova realidade. Assim, a Alta Administração do SENAI CETIQT manifestou o interesse em substituir as atuais lâmpadas fluorescentes do campus Riachuelo por lâmpadas LED, que, embora tenham um custo unitário maior, promovem uma economia considerável em médio e longo prazo. A primeira dificuldade encontrada foi definir o modelo de lâmpada LED que melhor atenderia às necessidades da instituição. Inicialmente, houve o entendimento ea estruturação do problema por meio de um brainstorm, resultando em quatro critérios julgados indispensáveis para a aquisição, que são custo, facilidade de instalação, vida útil e tempo de garantia. Por meio desses critérios, elencaram-se cinco modelos de lâmpadas LED que poderiam ser adquiridas. Como arcabouço metodológico, utilizou-se o método multicritério THOR, uma vez que os critérios e as alternativas estavam bem definidos. Assim, chegou-se à lâmpada tubular como o modelo mais indicado para o SENAI CETIQT, levando em consideração as especificidades da organização.

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Choosing a hospital assistance ship to fight the covid-19 pandemic

Cited by 43 publications

References 17 publications

COVID-SGIS: A Smart Tool for Dynamic Monitoring and Temporal Forecasting of Covid-19

COVID-SGIS: A Smart Tool for Dynamic Monitoring and Temporal Forecasting of Covid-19

The COVID‐19 crisis and complexity: A soft systems approach

Seleção Do Melhor Modelo De Lâmpada Led Para as Instalações Do Senai Cetiqt Por Meio Do Método Thor

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