Science in 60 - The Forecast Calls for Flu
Multimedia
·
OSTI ID:1242814
- 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
Similar Records
Data-Driven Disease Forecasting
Avian Flu
Argonne News Brief: Two Key Zika Proteins Unlocked at Advanced Photon Source
Multimedia
·
Tue Aug 08 00:00:00 EDT 2017
·
OSTI ID:1375226
Avian Flu
Multimedia
·
Sun Nov 05 23:00:00 EST 2006
·
OSTI ID:987306
Argonne News Brief: Two Key Zika Proteins Unlocked at Advanced Photon Source
Multimedia
·
Mon Jul 25 00:00:00 EDT 2016
·
OSTI ID:1283233