Background: 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.
The authors in REF use ARIMA to predict the number of beds occupied during a SARS outbreak in a tertiary hospital in Singapore.
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
BMC Health Services Research
BMC Health Services Research
Medicine