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

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

10.1186/1472-6963-5-36

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Bibliographic Details
Main Authors: Earnest A., Chen M.I., Ng D., Leo Y.S.
Other Authors: DUKE-NUS MEDICAL SCHOOL
Format: Article
Published: BioMed Central Ltd. 2018
Online Access:http://scholarbank.nus.edu.sg/handle/10635/144330
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Institution: National University of Singapore

Internet

http://scholarbank.nus.edu.sg/handle/10635/144330

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