Modeling Infectious Diseases in Healthcare Network (MInD-Healthcare) Framework for Describing and Reporting Multidrug Resistant Organism and Healthcare-Associated Infections Agent-Based Modeling Methods

Details

• Alternative Title:
  Clin Infect Dis
• Personal Author:
  Slayton, Rachel B. ; O’Hagan, Justin J. ; Barnes, Sean ; Rhea, Sarah ; Hilscher, Rainer ; Rubin, Michael ; Lofgren, Eric ; Singh, Brajendra ; Segre, Alberto ; Paul, Prabasaj
• Corporate Authors:
  CDC MInD-Healthcare Program
• Description:
  Mathematical modeling of healthcare-associated infections and multidrug-resistant organisms improves our understanding of pathogen 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 [11] for describing agent-based models (ABMs) to better align with elements commonly included in healthcare-related ABMs. The Modeling Infectious Diseases in Healthcare Network (MInD-Healthcare) framework includes the following 9 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; and (9) Model verification, calibration, and validation. Our objective is that this framework will improve the quality of evidence generated utilizing these models.
• Subjects:
  Article Communicable Diseases Delivery Of Health Care Drug Resistance, Multiple, Bacterial Humans Reproducibility Of Results Systems Analysis
• Source:
  Clin Infect Dis. 71(9):2527-2532
• Pubmed ID:
  32155235
• Pubmed Central ID:
  PMC7871347
• Document Type:
  Journal Article
• Funding:
  CC999999/ImCDC/Intramural CDC HHSUnited States/ ; U01 CK000527/CK/NCEZID CDC HHSUnited States/ ; U01 CK000531/CK/NCEZID CDC HHSUnited States/
• Volume:
  71
• Issue:
  9
• Collection(s):
  CDC Public Access
• Main Document Checksum:
  urn:sha256:66d10c9f0a28cd4163c02497ccbae939d1714246f1e84170d8094b23f30afc41
• Download URL:
  https://stacks.cdc.gov/view/cdc/102587/cdc_102587_DS1.pdf
• File Type:
  [PDF - 62.82 KB ]