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.
Bernd Mohr (Chair) - Juelich Supercomputing Centre