Session 2: SIRSb with Vaccination

Session 2: SIRSb with Vaccination

🎙 Hazhir Rahmandad (MIT OpenCourseWare) 👥 6.5M 📅 October 20, 2026 ⏱ 153 min 👁 4 📄 tutorial 🧭 2026-10-20
Available in: English (current) Français

Keywords

system dynamicsSIR modelvaccinationbehavioral responserisk perception

Summary

In this session, instructor Hazhir Rahmandad reviews student-built SIRS models extended with behavioral responses to risk, waning immunity, and vaccination. He critiques various formulation choices, highlighting the importance of unit consistency, the pitfalls of using trend functions on stocks, and the asymmetry in risk perception adjustment. The discussion covers how to model risk perception using smooth functions, the impact of exponential functions for behavioral response, and the trade-offs between first-order and higher-order delays for immunity waning. The session emphasizes iterative model improvement through critique and mental simulation. The instructor also discusses the importance of parameter parsimony and logical consistency, and demonstrates how to assess model formulations by testing extreme conditions. The session is a hands-on workshop on system dynamics model building and critique, with practical examples from COVID-like epidemics.

129 words

Critical Evaluation

Value of the Information & Strength of the Argument

The video provides deep insight into the art of model formulation in system dynamics. The instructor’s argumentation is rigorous, frequently breaking down formulations to their core assumptions and testing extreme cases. He emphasizes logical coherence, unit consistency, and the behavioral realism of functional forms. For instance, he dissects the exponential contact reduction function, showing its strengths (single-parameter) and weaknesses (overly sharp transitions), and discusses the asymmetry in risk perception using time-to-increase vs. time-to-decrease constants. The value lies in the practical, iterative critique of models, which is more instructive than a pure theoretical lecture.

Scientific Rigor, Source Quality, Title Accuracy

The scientific rigor is high; the instructor relies on established system dynamics methodology and points out common modeling pitfalls. No specific scientific papers are cited, but the course materials and textbook principles underpin the discussion. The title accurately matches the content: it is indeed Session 2, focusing on SIRSb (with vaccination). The session is a structured workshop, and the instructor uses random selection to ensure fair critique of student work. The lack of explicit external references is compensated by the depth and precision of the pedagogical analysis.

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Title / Content Match

The title accurately reflects the session's focus: extending the SIR model with behavioral response, waning immunity, and vaccination.

Quality & Reliability

8/10

Lecture from MIT OpenCourseWare, led by an experienced instructor, based on well-established system dynamics principles and constructively critiquing student models.

Key Moments

Cited Sources

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Contribution & Novelties

The video offers a unique, interactive perspective on system dynamics modeling, showing how an expert evaluates and improves models in real-time. It highlights common missteps such as neglecting unit checks, using trend functions on stocks, and inappropriate functional forms that can lead to unrealistic behavior. The instructor also introduces the asymmetry in risk perception adjustment, a concept with broad applications beyond epidemiology. This session serves as a practical guide for modelers of all levels.

Pour aller plus loin :

111 words

Radar Profile

The radar plot shows a balanced profile with high scores across all dimensions, reflecting the video's comprehensive coverage of both theoretical and practical aspects of system dynamics modeling, with slightly lower scores in technical depth due to the introductory nature of some explanations.

Reliability 8/10