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

Volumn 5, Issue , 2005, Pages

  Earnest, Arul ^a   Chen, Mark I ^a   Ng, Donald ^a   Leo, Yee Sin ^b  

^a TAN TOCK SENG HOSPITAL   (Singapore)

^b NATIONAL CENTRE FOR INFECTIOUS DISEASES   (Singapore)

Author keywords

[No Author keywords available]

Indexed keywords

ANALYTICAL ERROR; ARTICLE; AUTOREGRESSIVE INTEGRATED MOVING AVERAGE; FILTER; HEALTH CARE PLANNING; HOSPITAL ADMINISTRATOR; HOSPITAL ADMISSION; HOSPITAL BED UTILIZATION; PARAMETER; PARSIMONY ANALYSIS; PHYSICIAN; PREDICTION; PROBABILITY; PROGNOSIS; RETROSPECTIVE STUDY; SEVERE ACUTE RESPIRATORY SYNDROME; SINGAPORE; STATISTICAL ANALYSIS; STATISTICAL MODEL; STATISTICAL SIGNIFICANCE; VALIDATION PROCESS; EPIDEMIC; FEMALE; FORECASTING; HOSPITAL; HUMAN; INFANT; MALE; MIDDLE AGED; NEWBORN; PATIENT CARE; PROPORTIONAL HAZARDS MODEL; STATISTICS AND NUMERICAL DATA; UTILIZATION;

BED OCCUPANCY; DISEASE OUTBREAKS; FEMALE; FORECASTING; HOSPITALS, URBAN; HUMANS; INFANT; INFANT, NEWBORN; MALE; MIDDLE AGED; PATIENT ADMISSION; PATIENT ISOLATION; PROPORTIONAL HAZARDS MODELS; RETROSPECTIVE STUDIES; SEVERE ACUTE RESPIRATORY SYNDROME; SINGAPORE;

EID: 21744460022     PISSN: 14726963     EISSN: 14726963     Source Type: Journal    
DOI: 10.1186/1472-6963-5-36     Document Type: Article

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