Data-Driven Disease Forecasting [electronic resource]

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Tác giả:

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

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.
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