Data-Driven Disease Forecasting [electronic resource]

• 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: Los Alamos, N.M. : Oak Ridge, Tenn. : Los Alamos National Laboratory ; Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy, 2017
• Mô tả vật lý: Size: 00:02:00 : , digital, PDF file.
• Bộ sưu tập: Metadata
• ID: 261956
• Chủ đề: 1. 60 applied life sciences; 2. 97 mathematics and computing; 3. Disease forecast; 4. Diseases; 5. Lanl; 6. Mathematical models; 7. National security issue; 8. Public health; 9. Satellite data

Tóm tắt

If disease outbreaks could be forecasted like the weather, communities could set up protective measures to mitigate their impact. At Los Alamos National Laboratory, scientists are improving disease-forecasting mathematical models by using clinical data--as well as internet data sources such as Wikipedia, Twitter, and Google--and coupling it with satellite imagery. The goal is to better understanding how diseases spread and, eventually, forecast disease outbreaks.