Using integrated modeling to support the global eradication of vaccine‐preventable diseases

• Published in: System dynamics review Vol. 34; no. 1-2; pp. 78 - 120
• Main Authors: Duintjer Tebbens, Radboud J., Thompson, Kimberly M.
• Format: Journal Article
• Language: English
• Published: Chichester, UK John Wiley & Sons, Ltd 01.01.2018; Wiley Periodicals Inc
• Subjects: Computer simulation; Decision analysis; Differential equations; Disease control; Economic analysis; Modelling; Risk analysis; Sensitivity analysis; System dynamics; Uncertainty analysis
• ISSN: 0883-7066; 1099-1727
• DOI: 10.1002/sdr.1589

The long‐term management of global disease eradication initiatives involves numerous inherently dynamic processes, health and economic trade‐offs, significant uncertainty and variability, rare events with big consequences, complex and interrelated decisions, and a requirement for cooperation among a large number of stakeholders. Over the course of more than 16 years of collaborative modeling efforts to support the Global Polio Eradication Initiative, we developed increasingly complex integrated system dynamics models that combined numerous analytical approaches, including differential equation‐based modeling, risk and decision analysis, discrete‐event and individual‐based simulation, probabilistic uncertainty and sensitivity analysis, health economics and optimization. We discuss the central role of systems thinking and system dynamics in the overall effort and the value of integrating different modeling approaches to appropriately address the trade‐offs involved in some of the policy questions. We discuss practical challenges of integrating different analytical tools and we provide our perspective on the future of integrated modeling. Copyright © 2018 System Dynamics Society