Science in 60 - The Forecast Calls for Flu

Multimedia · 01 March 2016

OSTI ID:1242814

Del Valle, Sara ^[1]

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1. USDOE/OSTI

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 Laboratory (LANL), Los Alamos, NM (United States)
• Sponsoring Organization: USDOE
• OSTI ID: 1242814
• Country of Publication: United States
• Language: English

Related Subjects

60 APPLIED LIFE SCIENCES
97 MATHEMATICS AND COMPUTING
COMPUTER MODELING
DISEASE-FORECAST SYSTEM
FLU
INFECTIOUS DISEASES
LANL
REAL-TIME DATA