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Title: Science in 60 - The Forecast Calls for Flu

Multimedia ·
OSTI ID:1242814

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.

Research Organization:
Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Sponsoring Organization:
USDOE
OSTI ID:
1242814
Country of Publication:
United States
Language:
English

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