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Forecasting national and regional level intensive care unit bed demand during COVID-19: The case of Italy

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  • Simone Gitto
  • Carmela Di Mauro
  • Alessandro Ancarani
  • Paolo Mancuso

Abstract

Given the pressure on healthcare authorities to assess whether hospital capacity allows properly responding to outbreaks such as COVID-19, there is a need for simple, data-driven methods that may provide accurate forecasts of hospital bed demand. This study applies growth models to forecast the demand for Intensive Care Unit admissions in Italy during COVID-19. We show that, with only some mild assumptions on the functional form and using short time-series, the model fits past data well and can accurately forecast demand fourteen days ahead (the mean absolute percentage error (MAPE) of the cumulative fourteen days forecasts is 7.64). The model is then applied to derive regional-level forecasts by adopting hierarchical methods that ensure the consistency between national and regional level forecasts. Predictions are compared with current hospital capacity in the different Italian regions, with the aim to evaluate the adequacy of the expansion in the number of beds implemented during the COVID-19 crisis.

Suggested Citation

  • Simone Gitto & Carmela Di Mauro & Alessandro Ancarani & Paolo Mancuso, 2021. "Forecasting national and regional level intensive care unit bed demand during COVID-19: The case of Italy," PLOS ONE, Public Library of Science, vol. 16(2), pages 1-16, February.
    • Handle: RePEc:plo:pone00:0247726
    DOI: 10.1371/journal.pone.0247726
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    References listed on IDEAS

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    1. Parbat, Debanjan & Chakraborty, Monisha, 2020. "A python based support vector regression model for prediction of COVID19 cases in India," Chaos, Solitons & Fractals, Elsevier, vol. 138(C).
    2. Fotios Petropoulos & Spyros Makridakis, 2020. "Forecasting the novel coronavirus COVID-19," PLOS ONE, Public Library of Science, vol. 15(3), pages 1-8, March.
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    1. Costase Ndayishimiye & Christoph Sowada & Patrycja Dyjach & Agnieszka Stasiak & John Middleton & Henrique Lopes & Katarzyna Dubas-Jakóbczyk, 2022. "Associations between the COVID-19 Pandemic and Hospital Infrastructure Adaptation and Planning—A Scoping Review," IJERPH, MDPI, vol. 19(13), pages 1-22, July.

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