Surveilling Influenza Incidence With Centers for Disease Control and Prevention Web Traffic Data [electronic resource] : Demonstration Using a Novel Dataset

• Ngôn ngữ: eng
• Ký hiệu phân loại: 614.5 Incidence of and public measures to prevent specific diseases and kinds of diseases
• Thông tin xuất bản: Washington, D.C. : Oak Ridge, Tenn. : United States. National Nuclear Security Administration ; Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy, 2020
• Mô tả vật lý: Size: Article No. e14337 : , digital, PDF file.
• Bộ sưu tập: Metadata
• ID: 259854
• Chủ đề: 1. 60 applied life sciences; 2. Influenza, nowcasting, forecasting, internet data streams

Tóm tắt

Influenza epidemics result in a public health and economic burden worldwide. Traditional surveillance techniques, which rely on doctor visits, provide data with a delay of 1 to 2 weeks. A means of obtaining real-time data and forecasting future outbreaks is desirable to provide more timely responses to influenza epidemics. This study aimed to present the first implementation of a novel dataset by demonstrating its ability to supplement traditional disease surveillance at multiple spatial resolutions. We used internet traffic data from the Centers for Disease Control and Prevention (CDC) website to determine the potential usability of this data source. Additionally, we tested the traffic generated by 10 influenza-related pages in 8 states and 9 census divisions within the United States and compared it against clinical surveillance data.