Modeling Infectious Diseases in Healthcare Network (MInD – Healthcare) Past Awardees
From 2017-2020, almost $10 million was awarded to five recipients:
University of Utah
- Improved the effectiveness of modeling of antibiotic use and antibiotic resistance.
- Used models, tailored with patient flow and health economic data, to support decisions about outbreak control interventions and to prevent transmission of resistant pathogens.
- Developed a model of a regional healthcare network and extend it statewide (NC).
- Modeled patient movement through areas of high risk for carbapenem-resistant Enterobacteriaceae (CRE) and Clostridium difficile transmission, including hospitals and long term care facilities.
- Assessed regional model’s utility to identify priority areas for prevention and policy development.
University of Iowa
- Developed and validated models focused on aspects of hospital layout and healthcare worker/patient flow.
- Assessed the effectiveness of hospital-based interventions through the simulated spread of HAIs.
Washington State University
- Analyzed the effectiveness of specific contact precaution policies in conjunction with hand hygiene initiatives.
- Compared horizontal versus vertical infection control to determine optimal strategies.
- Explored the role companion animals play in the transmission and persistence of human pathogens.
Center for Disease Dynamics, Economics, and Policy (CDDEP)
- Analyzed data stored in electronic medical records.
- Developed models for within-hospital transmission of MDROs.
- Informed regional health policy decisions for hospital interventions by examining transfer of patients between facilities.
These investments are part of CDC’s Antibiotic Resistance Solutions Initiative and empower the nation to combat AR and the threat it brings to people, modern medicine, and to the healthcare, veterinary, and agriculture industries. These investments work toward meeting national goals to prevent drug-resistant infections. Learn more about CDC’s ongoing innovative work to protect Americans from AR threats in the AR Investment Map (Fiscal Year 2019).