Using autoregressive integrated moving average (ARIMA) models to predict and monitor the number of beds occupied during a SARS outbreak in a tertiary hospital in Singapore

<p>Abstract</p> <p>Background</p> <p>The main objective of this study is to apply autoregressive integrated moving average (ARIMA) models to make real-time predictions on the number of beds occupied in Tan Tock Seng Hospital, during the recent SARS outbreak.</p> &...

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Bibliographic Details
Main Authors: Earnest Arul, Chen Mark I, Ng Donald, Sin Leo
Format: Article
Language:English
Published: BMC 2005-05-01
Series:BMC Health Services Research
Online Access:http://www.biomedcentral.com/1472-6963/5/36