Dynamics of <scp>COVID</scp>‐19: Exploring Behavioral Responsiveness

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.

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Publication Details

Journal
System Dynamics Review
Published
2025-06-11
DOI
https://doi.org/10.1002/sdr.70006
Citations
1
Primary Topic
COVID-19 epidemiological studies
Type
article
Field-Weighted Citation Impact
1.37
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article

Dynamics of COVID‐19: Exploring Behavioral Responsiveness

Ali N. Mashayekhi, Luis F. Luna‐Reyes, Daniel V. Gordon, Andrada Tomoaia‐Cotisel et al.
1 citations
System Dynamics Review
COVID-19 epidemiological studies
1.37
article

Dynamics of COVID‐19: Exploring Behavioral Responsiveness

Ali N. Mashayekhi, Luis F. Luna‐Reyes, Daniel V. Gordon, Andrada Tomoaia‐Cotisel, Babak Bahaddin, Hyunjung Kim, David F. Andersen
article en
1 citations

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.

System Dynamics ReviewVol. 41(3)
Albany State University (US), RAND Corporation (US), Sharif University of Technology (IR), RAND School of Public Policy (US), California State University, Chico (US), Albany College of Pharmacy and Health Sciences (US), University at Albany, State University of New York (US), Rockefeller University (US)
Openalex Percentile: Top 21%
COVID-19 epidemiological studies
1.37
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Dynamics of <scp>COVID</scp>‐19: Exploring Behavioral Responsiveness — Ali N. Mashayekhi, Luis F. Luna‐Reyes, et al. · System Dynamics Review (2025) | TGRS Research Map | TGRS