Hello, A yearly allocation for the LCRC cluster has been requested with the following updated information: Submitter/PI: Nicholson Collier Project Name: MRSA Division: DIS Project title: Agent-based Modeling of Community-Associated Methicillin-Resistant Staphylococcus Aureus Epidemiology Associated funding: NIH Other Systems: Science: This project is developing an agent-based model of the spread of community-associated methicillin-resistant Staphylococcus aureus throughout Cook County. Each agent represents an individual person in a synthetic population. The scientific objective is to better understand the epidemiology of the disease transmission. Current scenarios simulate 2.9 million people and 1.2 locations throughout Cook County for 10 years on an hourly basis. We plan to extend the simulation to other infectious diseases transmitted by human-to-human contact. Project description: This project is using Repast for High Performance Computing (HPC (http://repast.sourceforge.net). Repast HPC C++ agent-based modeling system that is designed for use on large computing clusters and supercomputers. Several papers have been produced so far: David, Michael Z., Robert S. Daum, Michael J. North, Nicholson Collier, Vanja M. Dukic, Philip Schumm, James A. Evans, Duane T. Wegener, Jocelyn R. Wilder, Charles M. Macal, Diane S. Lauderdale. 2015 (Draft). Estimating the Contribution of Urban Jails to the Spread of Community-Associated MRSA, 2001-2010, using an Agent-Based Model of Chicago. Collier, N.T., J. Ozik, and C.M. Macal. Large-scale ABM with RepastHPC: A Case-study in Parallelizing a Distributed ABM, in PADABS 2015 Proceedings. Vienna, Austria, 24-28 August 2015 (in press). Macal, C.M., M.J. North, N.T. Collier, V.M. Dukic, D.T. Wegner, M.Z. David, R.S. Daum, P. Shumm, J.A. Evans, J.R. Wilder, D.S. Lauderdale, L.G. Miller, and S.J. Eels, “Reducing Transmission of Community-Associated Methicillin-Resistant Staphylococcus aureus: A Dynamic Agent-based Simulation,” Journal of Translational Medicine (2014). Macal et al., et al., “Modeling the Spread of Community-Associated MRSA,” Proceedings of the 2012 Winter Simulation Conference, C. Laroque, J. Himmelspach, R. Pasupathy, O. Rose, and A.M. Uhrmacher, eds., IEEE/ACM, Berlin, FRG (December 2012). Thanks to Fusion, we were able to run the model for the full population of Chicago (2.9 million agents and 1.2 million geographic locations) for the first time. We used this capability to reproduce epidemic curves from a meta-analysis of community-associated methicillin-resistant Staphylococcus aureus (CA-MRSA) infection incidence in Chicago. The model results closely match the observed values. We are in the final stages for a journal article exploring "search and destroy" responses to MRSA infections. The existing MRSA model has been updated to simulate these responses. The new allocation will allow us to execute simulations runs with this new code. The results will then be the basis for a new journal article. Industry partnership: Project URL: Current FY Hours Used: undetermined amount New FY Requested allocation: 225000 Q1: 75000 Q2: 50000 Q3: 50000 Q4: 50000 Justification: Storage requirements: Thank You, The LCRC Accounts System