Fellow and Senior Data Scientist
infection using a natural history submodel. We discuss the ABM's potential to detect network areas where disease risk is high; simulate and evaluate interventions to protect public health; adapt to other geographic locations and healthcare-associated infections, including emerging pathogens; and meaningfully translate results to public health practitioners, healthcare providers, and policymakers.
Rhea S, Hilscher R, Rineer JI, Munoz B, Jones K, Endres-Dighe SM, DiBiase LM, Sickbert-Bennett EE, Weber DJ, MacFarquhar JK, Dubendris H, Bobashev G. Creation of a Geospatially Explicit, Agent-based Model of a Regional Healthcare Network with Application to Clostridioides difficile Infection. Health security, 17(4)