id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-288639-wy07nao0	Earnest, Arul	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	2005-05-11		.txt	text/plain	2797	152	50	title: 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 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 main objective of this study is to apply autoregressive integrated moving average (ARIMA) models to make realtime predictions on the number of beds occupied in TTSH during the SARS outbreak, starting from 14 Mar 2003, when the CDC was activated, to 31 May 2003 when Singapore was declared SARS free. To the best of our knowledge, this is the first study to suggest the application of a known statistical method such as the ARIMA model, to predict and monitor the utilization of hospital isolation beds during the recent SARS outbreak in Singapore, for which Tan Tock Seng Hospital was the Admissions, predicted and actual number of beds occupied 	./cache/cord-288639-wy07nao0.txt	./txt/cord-288639-wy07nao0.txt