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

Saved in:
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
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: National University of Singapore
id sg-nus-scholar.10635-144330
record_format dspace
spelling 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
institution National University of Singapore
building NUS Library
continent Asia
country Singapore
Singapore
content_provider NUS Library
collection ScholarBank@NUS
description 10.1186/1472-6963-5-36
author2 DUKE-NUS MEDICAL SCHOOL
author_facet DUKE-NUS MEDICAL SCHOOL
Earnest A.
Chen M.I.
Ng D.
Leo Y.S.
format Article
author Earnest A.
Chen M.I.
Ng D.
Leo Y.S.
spellingShingle 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
author_sort 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
publisher BioMed Central Ltd.
publishDate 2018
url http://scholarbank.nus.edu.sg/handle/10635/144330
_version_ 1781791413896216576