Washington State University
Mathematical modeling of healthcare associated infections (HAIs) and multidrug resistant organisms (MDROs) improves our understanding of pathogens transmission dynamics and provides a framework for evaluating prevention strategies. One way of improving the communication among modelers is by providing a standardized way of describing and reporting models thereby instilling confidence in the reproducibility and generalizability of such models. We updated the Overview, Design concepts, and Details protocol developed by Grimm et al. for describing agent-based models (ABMs) to better align with elements commonly included in healthcare-related ABMs. The MInD-Healthcare framework includes the following nine key elements: 1. Purpose and scope; 2. Entities, state variables, and scales; 3. Initialization; 4. Process overview and scheduling; 5. Input data; 6. Agent interactions and organism transmission; 7. Stochasticity; 8. Submodels; 9. Model verification, calibration, and validation. Our objective is that this framework will improve the quality of evidence generated utilizing these models.
Slayton RB, O'Hagan JJ, Barnes S, Rhea S, Hilscher R, Rubin M, Lofgren E, Singh B, Segre A, Paul P. (2020). Modeling Infectious Diseases in Healthcare Network (MInD-Healthcare) Framework for Describing and Reporting Multidrug Resistant Organism and Healthcare-Associated Infections Agent-Based Modeling Methods. Clinical infectious diseases : an official publication of the Infectious Diseases Society of America