Year: 2025
Type: article
Abstract: ABSTRACT In March 2020, our team initiated a modeling effort whose purposes were to create semantically rich stories about the COVID‐19 pandemic aimed at the public, and to create teaching materials for students of system dynamics. The present paper documents the technical details of the models that have supported that work. To achieve this, the final model is presented in eight layers that present a disaggregated structural description of the many ways that a population reacts to the pandemic. As a secondary purpose, we explore how the disaggregated view of population responsiveness, coupled with a parameter sensitivity analysis, can create a more robust description of “behavioral responsiveness,” a key factor driving a hundredfold variability in cumulative deaths per capita that was seen across societies in the pandemic.
Source: System Dynamics Review
DOI: 10.1002/sdr.70006
Authors: Ali Mashayekhi, Daniel Gordon, Andrada Tomoaia‐Cotisel, Babak Bahaddin, Hyunjung Kim, Luis Felipe Luna‐Reyes, David F. Andersen
Language: English
Subfield: Modeling and Simulation
Field: Mathematics
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W4411216433