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. METHODS: This is a retrospective study design. Hospital admission...

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Detalles Bibliográficos
Autores principales: Earnest, Arul, Chen, Mark I, Ng, Donald, Sin, Leo Yee
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2005
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1274243/
https://www.ncbi.nlm.nih.gov/pubmed/15885149
http://dx.doi.org/10.1186/1472-6963-5-36

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1274243/
https://www.ncbi.nlm.nih.gov/pubmed/15885149
http://dx.doi.org/10.1186/1472-6963-5-36

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