Nonlinear time-series forecasts for decision support: short-term demand for ICU beds in Santiago, Chile, during the 2021 COVID-19 pandemic.

Quiroga, Bernardo F; Vásquez, Cristián; Vicuña, M Ignacia

Quiroga, Bernardo F; Vásquez, Cristián; Vicuña, M Ignacia.

Afiliação

Quiroga BF; School of Management Pontificia Universidad Católica de Chile Av. Vicuña Mackenna 4860 Macul Santiago RM 7820436 Chile.
Vásquez C; School of Management Pontificia Universidad Católica de Chile Av. Vicuña Mackenna 4860 Macul Santiago RM 7820436 Chile.
Vicuña MI; School of Management Pontificia Universidad Católica de Chile Av. Vicuña Mackenna 4860 Macul Santiago RM 7820436 Chile.

Int Trans Oper Res ; 2022 Oct 20.

Article em En | MEDLINE | ID: mdl-36712286

RESUMO

In Chile, due to the explosive increase of new Coronavirus disease 2019 (COVID-19) cases during the first part of 2021, the ability of health services to accommodate new incoming cases was jeopardized. It has become necessary to be able to manage intensive care unit (ICU) capacity, and for this purpose, monitoring both the evolution of new cases and the demand for ICU beds has become urgent. This paper presents short-term forecast models for the number of new cases and the number of COVID-19 patients admitted to ICUs in the Metropolitan Region in Chile.

Palavras-chave

COVID19; infectious disease dynamics; modeling biological systems; time series forecasting

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Incidence_studies / Prognostic_studies País/Região como assunto: America do sul / Chile Idioma: En Revista: Int Trans Oper Res Ano de publicação: 2022 Tipo de documento: Article País de publicação: Reino Unido

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