Using electronic health records and Internet search information for accurate influenza forecasting

• Published in: BMC infectious diseases Vol. 17; no. 1; p. 332
• Main Authors: Yang, Shihao, Santillana, Mauricio, Brownstein, John S, Gray, Josh, Richardson, Stewart, Kou, S C
• Format: Journal Article
• Language: English
• Published: England BioMed Central 08.05.2017; BMC
• Subjects: Autoregression; Centers for Disease Control and Prevention, U.S; Digital disease detection; Dynamic error reduction; Electronic Health Records; Forecasting; Humans; Influenza, Human - epidemiology; Influenza-like illnesses reports; Internet; Population Surveillance - methods; Seasons; United States; Validation test; United States; Digital disease detection; Autoregression; Influenza-like illnesses reports; Validation test; Dynamic error reduction

Accurate influenza activity forecasting helps public health officials prepare and allocate resources for unusual influenza activity. Traditional flu surveillance systems, such as the Centers for Disease Control and Prevention's (CDC) influenza-like illnesses reports, lag behind real-time by one...