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Title: Data-Driven Disease Forecasting

Abstract

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.

Authors:
Publication Date:
Research Org.:
Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1375226
Resource Type:
Multimedia
Country of Publication:
United States
Language:
English
Subject:
60 APPLIED LIFE SCIENCES; 97 MATHEMATICS AND COMPUTING; LANL; MATHEMATICAL MODELS; DISEASES; SATELLITE DATA; DISEASE FORECAST; PUBLIC HEALTH; NATIONAL SECURITY ISSUE

Citation Formats

Generous, Nicholas. Data-Driven Disease Forecasting. United States: N. p., 2017. Web.
Generous, Nicholas. Data-Driven Disease Forecasting. United States.
Generous, Nicholas. Tue . "Data-Driven Disease Forecasting". United States. doi:. https://www.osti.gov/servlets/purl/1375226.
@article{osti_1375226,
title = {Data-Driven Disease Forecasting},
author = {Generous, Nicholas},
abstractNote = {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.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Tue Aug 08 00:00:00 EDT 2017},
month = {Tue Aug 08 00:00:00 EDT 2017}
}