SC is the International Conference for
High Performance Computing, Networking,
Storage and Analysis



SCHEDULE: NOV 12-18, 2011

When viewing the Technical Program schedule, on the far righthand side is a column labeled "PLANNER." Use this planner to build your own schedule. Once you select an event and want to add it to your personal schedule, just click on the calendar icon of your choice (outlook calendar, ical calendar or google calendar) and that event will be stored there. As you select events in this manner, you will have your own schedule to guide you through the week.

You can also create your personal schedule on the SC11 app (Boopsie) on your smartphone. Simply select a session you want to attend and "add" it to your plan. Continue in this manner until you have created your own personal schedule. All your events will appear under "My Event Planner" on your smartphone.

Agent-Based Modeling of the Spread of Methicillin-Resistant Staphylococcus aureus (MRSA) Outbreaks within a Hospital Network

SESSION: Research Poster Reception

EVENT TYPE: ACM Student Research Competition Poster, Poster, Electronic Poster

TIME: 5:15PM - 7:00PM

SESSION CHAIR: Bernd Mohr

AUTHOR(S):Kim F. Wong, Levent Yilmaz, Richard A. Christie, Sarah M. McGlone, Susan S. Huang, Bruce Y. Lee

ROOM:WSCC North Galleria 2nd/3rd Floors

ABSTRACT:
Methicillin-resistant Staphylococcus aureus (MRSA) is a multidrug-resistant bacterium that is responsible for several difficult-to-treat infections, and represents a growing epidemiological concern within healthcare facilities. Since hospitals are interconnected via patient sharing, changes in patient characteristics or chronic disease epidemiology in one hospital may affect other hospitals within a region. We developed an agent-based model (ABM), of an adult acute care hospital network, that incorporates real life patient sharing data and hospital-specific characteristics. The structure of each hospital includes ICU (intensive care unit) and general wards and associated compartment models for disease transmission. The simulation code is written in Fortran 95 and parallelized using MPI to facilitate fast convergence of the Monte Carlo sampling scheme employed in the ABM. This model enables us to conduct detailed quantitative studies, such as potential impact of individual hospital and regional outbreak scenarios, with the goal of providing valuable input into public health decision making.

Chair/Author Details:

Bernd Mohr (Chair) - Juelich Supercomputing Centre

Kim F. Wong - University of Pittsburgh

Levent Yilmaz - University of Pittsburgh

Richard A. Christie - University of Pittsburgh

Sarah M. McGlone - University of Pittsburgh

Susan S. Huang - University of California, Irvine

Bruce Y. Lee - University of Pittsburgh

Add to iCal  Click here to download .ics calendar file

Add to Outlook  Click here to download .vcs calendar file

Add to Google Calendarss  Click here to add event to your Google Calendar

   Sponsors    ACM    IEEE