Characterization of superspreaders movement in a bidirectional corridor using a social force model

Kanté, Dramane Sam Idris; Jebrane, Aissam; Hakim, Abdelilah; Boukamel, Adnane

doi:10.3389/fpubh.2023.1188732

Cited by 4 publications

(1 citation statement)

References 96 publications

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“…Indeed, these models assume that individuals tend to keep an interpersonal distance from others. The social force model (SFM) has been used to estimate contacts and exposure to infected individuals in different settings [ 26 ]. Researchers in [ 27 ] estimated contacts in an airplane boarding scenario to deduce the risk of exposure.…”

Section: Introductionmentioning

confidence: 99%

Morocco’s population contact matrices: A crowd dynamics-based approach using aggregated literature data

Kanté,

Jebrane,

Boukamel

et al. 2024

PLoS ONE

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Estimation of contact patterns is often based on questionnaires and time-use data. The results obtained using these methods have been used extensively over the years and recently to predict the spread of the COVID-19 pandemic. They have also been used to test the effectiveness of non-pharmaceutical measures such as social distance. The latter is integrated into epidemiological models by multiplying contact matrices by control functions. We present a novel method that allows the integration of social distancing and other scenarios such as panic. Our method is based on a modified social force model. The model is calibrated using data relating to the movements of individuals and their interactions such as desired walking velocities and interpersonal distances as well as demographic data. We used the framework to assess contact patterns in different social contexts in Morocco. The estimated matrices are extremely assortative and exhibit patterns similar to those observed in other studies including the POLYMOD project. Our findings suggest social distancing would reduce the numbers of contacts by 95%. Further, we estimated the effect of panic on contact patterns, which indicated an increase in the number of contacts of 11%. This approach could be an alternative to questionnaire-based methods in the study of non-pharmaceutical measures and other specific scenarios such as rush hours. It also provides a substitute for estimating children’s contact patterns which are typically assessed through parental proxy reporting in surveys.

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Section: Introductionmentioning

confidence: 99%

Morocco’s population contact matrices: A crowd dynamics-based approach using aggregated literature data

Kanté,

Jebrane,

Boukamel

et al. 2024

PLoS ONE

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Shared social identity and social norms shape risk‐taking at mass gatherings

Alhajri,

Moore,

Templeton

2024

British J Social Psychol

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Shared social identity and social norms are often un(der)recognized within mass gatherings health literature, yet they can increase infectious disease transmission by motivating people to engage in risk‐taking behaviours. Across three experiments (Ntotal = 1551), we investigated how shared social identities, perceived norms of resource‐sharing, and perceived riskiness of sharing interact to shape decisions that can lead to disease transmission. In Experiment 1 (N = 528), we examined how shared social identity and perceived descriptive norms affect the likelihood of crowd members sharing resources that may contribute to disease spread. We then replicated this in Experiment 2 (N = 511) using perceived injunctive norms. In Experiment 3 (N = 512), we explored how high shared social identity, perceived norms, and perceived health risks of resource‐sharing impact the likelihood of sharing that may, in turn, increase infectious disease transmission at mass gatherings. We found that high shared social identity interacts with perceived descriptive and injunctive norms, and low health risk perceptions, to increase the likelihood of accepting resources and giving resources at mass gatherings. We discuss the theoretical and practical implications for researchers, practitioners, and policymakers to build effective strategies to mitigate infectious disease transmission at mass gatherings.

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The Parameter Calibration of Social Force Model for Pedestrian Flow Simulation Based on YOLOv5

Li,

Xu,

et al. 2024

Sensors

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With the increasing importance of subways in urban public transportation systems, pedestrian flow simulation for supporting station management and risk analysis becomes more necessary. There is a need to calibrate the simulation model parameters with real-world pedestrian flow data to achieve a simulation closer to the real situation. This study presents a calibration approach based on YOLOv5 for calibrating the simulation model parameters in the social force model inserted in Anylogic. This study compared the simulation results after model calibration with real data. The results show that (1) the parameters calibrated in this paper can reproduce the characteristics of pedestrian flow in the station; (2) the calibration model not only decreases global errors but also overcomes the common phenomenon of large differences between simulation and reality.

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Characterization of superspreaders movement in a bidirectional corridor using a social force model

Cited by 4 publications

References 96 publications

Morocco’s population contact matrices: A crowd dynamics-based approach using aggregated literature data

Morocco’s population contact matrices: A crowd dynamics-based approach using aggregated literature data

Shared social identity and social norms shape risk‐taking at mass gatherings

The Parameter Calibration of Social Force Model for Pedestrian Flow Simulation Based on YOLOv5

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