Literature DB >> 32997068

Forecast UTI: application for predicting intensive care unit beds in the context of the COVID-19 pandemic.

Luiz Leduíno de Salles Neto1, Camila Bertini Martins2, Antônio Augusto Chaves1, Thais Cláudia Roma de Oliveira Konstantyner2, Horacio Hideki Yanasse1, Claudia Barbosa Ladeira de Campos1, Ana Júlia de Oliveira Bellini1, Renan Brito Butkeraites1, Leonardo Correia1, Igor Luciano Magro1, Fernando Dos Santos Soares1.   

Abstract

In view of the need to manage and forecast the number of Intensive Care Unit (ICU) beds for critically ill COVID-19 patients, the Forecast UTI open access application was developed to enable hospital indicator monitoring based on past health data and the temporal dynamics of the Coronavirus epidemic. Forecast UTI also enables short-term forecasts of the number of beds occupied daily by COVID-19 patients and possible care scenarios to be established. This article presents the functions, mode of access and examples of uses of Forecast UTI, a computational tool intended to assist managers of public and private hospitals within the Brazilian National Health System by supporting quick, strategic and efficient decision-making.

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Mesh:

Year:  2020        PMID: 32997068     DOI: 10.5123/S1679-49742020000400023

Source DB:  PubMed          Journal:  Epidemiol Serv Saude        ISSN: 1679-4974


  3 in total

Review 1.  Associations between the COVID-19 Pandemic and Hospital Infrastructure Adaptation and Planning-A Scoping Review.

Authors:  Costase Ndayishimiye; Christoph Sowada; Patrycja Dyjach; Agnieszka Stasiak; John Middleton; Henrique Lopes; Katarzyna Dubas-Jakóbczyk
Journal:  Int J Environ Res Public Health       Date:  2022-07-04       Impact factor: 4.614

2.  Towards Providing Effective Data-Driven Responses to Predict the Covid-19 in São Paulo and Brazil.

Authors:  Fabio Amaral; Wallace Casaca; Cassio M Oishi; José A Cuminato
Journal:  Sensors (Basel)       Date:  2021-01-13       Impact factor: 3.576

3.  Control Centre for Intensive Care as a Tool for Effective Coordination, Real-Time Monitoring, and Strategic Planning During the COVID-19 Pandemic.

Authors:  Martin Komenda; Vladimír Černý; Petr Šnajdárek; Matěj Karolyi; Miloš Hejný; Petr Panoška; Jiří Jarkovský; Jakub Gregor; Vojtěch Bulhart; Lenka Šnajdrová; Ondřej Májek; Tomáš Vymazal; Jan Blatný; Ladislav Dušek
Journal:  J Med Internet Res       Date:  2022-02-16       Impact factor: 5.428

  3 in total

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