BEGIN:VCALENDAR
PRODID:-//Microsoft Corporation//Outlook MIMEDIR//EN
VERSION:1.0
BEGIN:VEVENT
DTSTART:20141116T200000Z
DTEND:20141116T201500Z
LOCATION:288-89
DESCRIPTION;ENCODING=QUOTED-PRINTABLE:ABSTRACT: In this talk, we focus on the spread of contagious diseases and show how the eigenvalue equation intervenes in models of infectious disease propagation and could be used as an ally of vaccination campaigns in the actions carried out by health care organizations.  The stochastic model based on PageRank allows simulating the epidemic spread, where a PageRank-like infection vector is calculated to help establish efficient vaccination strategy. Due to the size and the particular structure of underlying social networks, this calculation requires considerable computational resources as well as storage means of very large quantity of data and represents a big challenge in high performance computing. The computation methods of PageRank in this context are explored. The experiments take into account very large network of individuals imposing the challenging issue of handling very big graph with complex structure. The corresponding computational challenges will also be discussed.
SUMMARY:High Performance Computing for Simulation of Epidemic Spread
PRIORITY:3
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END:VCALENDAR