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COVID-19 and Stigma: Evolution of Self-restraint Behavior
Kenichi Kurita1, Shunsuke Managi1
1Urban Institute and Department of Civil Engineering, School of Engineering, Kyushu University, 744 Motooka, Nishi-ku, Fukuoka, 819-0395 Japan.
Dynamic Games and Applications
|January 31, 2022
Summary
Social stigma can reduce COVID-19 spread by discouraging people from going out. A new model shows that non-legally binding policies can effectively decrease public outings, aiding disease control.
Area of Science:
- Epidemiology
- Mathematical Modeling
- Social Sciences
Background:
- Social stigma can influence public behavior during pandemics.
- Previous models of COVID-19 with stigma had limitations.
- Understanding self-restraint and infection dynamics is crucial for public health.
Purpose of the Study:
- To analyze the interplay between self-restraint, COVID-19 infection, and social stigma.
- To develop a solvable model for disease dynamics incorporating stigma.
- To evaluate the impact of non-legally binding policies on public behavior.
Main Methods:
- Utilized the framework of replicator dynamics.
- Developed an analytically solvable model for disease spread with stigma.
- Analyzed steady states of the system.
Main Results:
- The model is analytically solvable for an interior steady state.
- A non-legally binding policy was shown to reduce the number of people going out.
- Social stigma was identified as a factor influencing self-restraint behavior.
Conclusions:
- Social stigma can be an effective, albeit indirect, tool for reducing disease transmission.
- Non-legally binding policies can influence public behavior and contribute to pandemic control.
- The developed model offers new insights into disease dynamics with social factors.
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