As per the proposal "according to the CDC, healthcare-associated infections [HAIs] affect about two million patients in American hospitals each year. Of particular concern are strains of antimicrobial resistant pathogens that could be quickly amplified in hospitals, transmitted to other hospitals, nursing homes, and then, eventually, to the community at large. This project will apply the analytic techniques and simulation tools of computational science to provide a much-needed framework to better understand and evaluate hospital patient safety measures, from common interventions specifically designed for infection control, such as hand-washing or patient-cohorting, targeted hand-washing compliance measures, and healthcare worker vaccination strategies, to more subtle questions about, e.g., patient/unit assignment, inter-facility transfer policies, antibiotic administration and staff/patient allocations."
The interdisciplinary collaborators are expected to belong to a "new network of multidisciplinary scientists conducting computational and mathematical research to improve the ability to prepare for, detect, control, and prevent the growing problem of HAIs in the United States, particularly HAIs involving antimicrobial resistant pathogens."
This three-year project has been awarded $1.7M.