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Title: Science in 60 - The Forecast Calls for Flu

What if we could forecast infectious diseases the same way we forecast the weather, and predict how diseases like Dengue, Typhus, or Zika were going to spread? Using real-time data from Wikipedia and social media, Sara Del Valle and her team from Los Alamos National Laboratory have developed a global disease-forecasting system that will improve the way we respond to epidemics. Using this model, individuals and public health officials can monitor disease incidence and implement strategies — such as vaccination campaigns, communicating to the public and allocating resources — to stay one step ahead of infectious disease spread.
Authors:
Publication Date:
OSTI Identifier:
1242814
Resource Type:
Other
Research Org:
LANL (Los Alamos National Laboratory (LANL), Los Alamos, NM (United States))
Sponsoring Org:
USDOE
Country of Publication:
United States
Language:
English
Subject:
60 APPLIED LIFE SCIENCES INFECTIOUS DISEASES; FLU; DISEASE FORECAST