Forecasting respiratory infectious outbreaks using ED-based syndromic surveillance for febrile ED visits in a Metropolitan City.

Affiliation

Department of Emergency Medicine, Seoul National University Hospital, Republic of Korea. Electronic address: [Email]

Abstract

Monitoring and detecting sudden outbreaks of respiratory infectious disease is important. Emergency Department (ED)-based syndromic surveillance systems have been introduced for early detection of infectious outbreaks. The aim of this study was to develop and validate a forecasting model of respiratory infectious disease outbreaks based on a nationwide ED syndromic surveillance using daily number of emergency department visits with fever.

Keywords

ARIMA,Fever,Forecast,Respiratory infectious disease,Syndromic surveillance,

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