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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2018
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sg-nus-scholar.10635-1443302023-10-30T20:06:31Z 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 Earnest A. Chen M.I. Ng D. Leo Y.S. DUKE-NUS MEDICAL SCHOOL SAW SWEE HOCK SCHOOL OF PUBLIC HEALTH 10.1186/1472-6963-5-36 BMC Health Services Research 5 2018-07-02T02:36:36Z 2018-07-02T02:36:36Z 2005 Article Earnest A., Chen M.I., Ng D., Leo Y.S. (2005). 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 5. ScholarBank@NUS Repository. https://doi.org/10.1186/1472-6963-5-36 14726963 http://scholarbank.nus.edu.sg/handle/10635/144330 000229239200001 BioMed Central Ltd. Scopus |
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10.1186/1472-6963-5-36 |
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DUKE-NUS MEDICAL SCHOOL |
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DUKE-NUS MEDICAL SCHOOL Earnest A. Chen M.I. Ng D. Leo Y.S. |
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Earnest A. Chen M.I. Ng D. Leo Y.S. |
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Earnest A. Chen M.I. Ng D. Leo Y.S. 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 |
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Earnest A. |
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 |
title_short |
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 |
title_full |
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 |
title_fullStr |
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 |
title_full_unstemmed |
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 |
title_sort |
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 |
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BioMed Central Ltd. |
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2018 |
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http://scholarbank.nus.edu.sg/handle/10635/144330 |
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1781791413896216576 |