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2021 | OriginalPaper | Chapter

Planning Intensive Care Resources: A Forecast and Simulation Approach Due COVID-19 Pandemic in Rio de Janeiro City

Authors : Daniel Bouzon Nagem Assad, Javier Cara, Miguel Ortega-Mier, Thaís Spiegel, Luana Carolina Farias Ramos

Published in: Industrial Engineering and Operations Management

Publisher: Springer International Publishing

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Abstract

The chapter 'Planning Intensive Care Resources: A Forecast and Simulation Approach Due to COVID-19 Pandemic in Rio de Janeiro City' addresses the critical challenge of managing intensive care unit (ICU) resources during the COVID-19 pandemic. It begins by contextualizing the impact of emerging infectious diseases on health systems and the utility of mathematical models in forecasting and controlling epidemics. The authors then present a detailed methodology for forecasting ICU patient admissions and estimating the required ICU beds and healthcare professionals in Rio de Janeiro City. By applying time series analysis and simulation techniques, the chapter offers a practical approach to resource planning that accounts for uncertainties in patient admissions and length of stay. The research highlights the importance of accurate forecasting to prepare healthcare systems for the dynamic demands of a pandemic, ensuring adequate treatment for infected patients. The findings emphasize the significant growth expected in ICU patient admissions and the potential impact on both public and private healthcare systems in the city.

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Metadata
Title
Planning Intensive Care Resources: A Forecast and Simulation Approach Due COVID-19 Pandemic in Rio de Janeiro City
Authors
Daniel Bouzon Nagem Assad
Javier Cara
Miguel Ortega-Mier
Thaís Spiegel
Luana Carolina Farias Ramos
Copyright Year
2021
DOI
https://doi.org/10.1007/978-3-030-78570-3_41

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