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PRODID:-//Microsoft Corporation//Outlook MIMEDIR//EN
VERSION:2.0
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DTSTART:20151118T204000Z
DTEND:20151118T213000Z
LOCATION:12AB
DESCRIPTION;ENCODING=QUOTED-PRINTABLE:ABSTRACT: The 2014-2015 Ebola outbreak in Western Africa has illuminated the significant threat posed by infectious diseases to human lives and society.  As of September 2015, over 12,000 individuals have been confirmed infected, with another 5000 suspected cases, and almost 6500 deaths.  Applying interventions in a resource-poor area during an ongoing epidemic is not easily done and the level of success is uncertain. Modeling disease outbreaks can therefore be helpful by providing epidemic forecasts that explain the complex dynamics of infectious diseases. Simulation and modeling can predict the likely impact of possible interventions before they are implemented. As a result, policy makers and health care workers are provided with guidance and support.  High performance computing, big-data analytics, algorithms, visualizations and distributed systems are all important while developing scalable tools and decision support systems. Real-time computational epidemiology incorporating currently available ground information is critical to support decisions in the field.  A state-of-the-art environment can deliver detailed situational awareness and decision support for an epidemic such as Ebola. NDSSL is supporting several federal agencies, including the DoD and NIH, by supplying them analytic results, enabling government decision makers to make more informed scientifically backed decisions and policies. The Infectious Disease Modeling Environment was quickly retargeted to Ebola, enabling us to: infer disease parameters in the very early phase of the epidemic, produce weekly forecasts of disease incidence and mortality, understand the chances of Ebola spreading in continental US, provide input on the location of Ebola.
SUMMARY:An HPC-Based Computational Epidemiology Infrastructure for Ebola Response
PRIORITY:3
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