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Characterization of superspreaders movement in a bidirectional corridor using a social force model
Dramane Sam Idris Kanté1,2, Aissam Jebrane2, Abdelilah Hakim1
1LAMAI, Department of Mathematics, Faculty of Sciences and Technologies, Cadi Ayyad University, Marrakesh, Morocco.
Frontiers in Public Health
|August 14, 2023
Summary
Understanding superspreaders during outbreaks is key. Low walking speed, high body mass, and central corridor movement increase exposure risk, while social distancing helps mitigate transmission.
Area of Science:
- Epidemiology
- Public Health
- Computational Social Science
Background:
- Infectious disease outbreaks can be amplified by superspreaders.
- Identifying and mitigating superspreading events is crucial for public health.
- Contact tracing methods exist but can be enhanced with predictive modeling.
Purpose of the Study:
- To model and identify key risk factors contributing to superspreading events.
- To understand how crowd dynamics influence disease transmission potential.
- To inform the design of risk reduction strategies in public spaces.
Main Methods:
- Utilized a social force model to simulate pedestrian movement in a bidirectional corridor.
- Analyzed parameters influencing close proximity and exposure duration.
- Investigated the impact of crowd density, walking speed, body mass, and movement patterns.
Main Results:
- Low walking speed and high body mass increase the number of close exposures.
- Panic events amplify risks, while social distancing effectively reduces encounters.
- Higher crowd density leads to more frequent and prolonged exposures.
- Individuals moving towards the corridor center exhibit higher superspreading risk due to increased movement variability.
Conclusions:
- Individual characteristics and crowd dynamics significantly influence superspreading potential.
- The corridor model provides insights for designing effective public health interventions.
- Findings can be applied to optimize safety measures in high-traffic venues like transit stations and schools.
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