Characterization of superspreaders movement in a bidirectional corridor using a social force model
During infectious disease outbreaks, some infected individuals may spread the disease widely and amplify risks in the community. People whose daily activities bring them in close proximity to many others can unknowingly become superspreaders. The use of contact tracking based on social networks, GPS...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2023-07-01
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| Series: | Frontiers in Public Health |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fpubh.2023.1188732/full |
| _version_ | 1827891197961568256 |
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| author | Dramane Sam Idris Kanté Dramane Sam Idris Kanté Aissam Jebrane Abdelilah Hakim Adnane Boukamel |
| author_facet | Dramane Sam Idris Kanté Dramane Sam Idris Kanté Aissam Jebrane Abdelilah Hakim Adnane Boukamel |
| author_sort | Dramane Sam Idris Kanté |
| collection | DOAJ |
| description | During infectious disease outbreaks, some infected individuals may spread the disease widely and amplify risks in the community. People whose daily activities bring them in close proximity to many others can unknowingly become superspreaders. The use of contact tracking based on social networks, GPS, or mobile tracking data can help to identify superspreaders and break the chain of transmission. We propose a model that aims at providing insight into risk factors of superspreading events. Here, we use a social force model to estimate the superspreading potential of individuals walking in a bidirectional corridor. First, we applied the model to identify parameters that favor exposure to an infectious person in scattered crowds. We find that low walking speed and high body mass both increase the expected number of close exposures. Panic events exacerbate the risks while social distancing reduces both the number and duration of close encounters. Further, in dense crowds, pedestrians interact more and cannot easily maintain the social distance between them. The number of exposures increases with the density of person in the corridor. The study of movements reveals that individuals walking toward the center of the corridor tend to rotate and zigzag more than those walking along the edges, and thus have higher risks of superspreading. The corridor model can be applied to designing risk reduction measures for specific high volume venues, including transit stations, stadiums, and schools. |
| first_indexed | 2024-03-12T21:22:20Z |
| format | Article |
| id | doaj.art-0300f025f42f4ebab9502a1dc506dffa |
| institution | Directory Open Access Journal |
| issn | 2296-2565 |
| language | English |
| last_indexed | 2024-03-12T21:22:20Z |
| publishDate | 2023-07-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Public Health |
| spelling | doaj.art-0300f025f42f4ebab9502a1dc506dffa2023-07-28T13:41:10ZengFrontiers Media S.A.Frontiers in Public Health2296-25652023-07-011110.3389/fpubh.2023.11887321188732Characterization of superspreaders movement in a bidirectional corridor using a social force modelDramane Sam Idris Kanté0Dramane Sam Idris Kanté1Aissam Jebrane2Abdelilah Hakim3Adnane Boukamel4LAMAI, Department of Mathematics, Faculty of Sciences and Technologies, Cadi Ayyad University, Marrakesh, MoroccoCentrale Casablanca, Complex Systems and Interactions Research Center, Ville Verte, Bouskoura, MoroccoCentrale Casablanca, Complex Systems and Interactions Research Center, Ville Verte, Bouskoura, MoroccoLAMAI, Department of Mathematics, Faculty of Sciences and Technologies, Cadi Ayyad University, Marrakesh, MoroccoCentrale Casablanca, Complex Systems and Interactions Research Center, Ville Verte, Bouskoura, MoroccoDuring infectious disease outbreaks, some infected individuals may spread the disease widely and amplify risks in the community. People whose daily activities bring them in close proximity to many others can unknowingly become superspreaders. The use of contact tracking based on social networks, GPS, or mobile tracking data can help to identify superspreaders and break the chain of transmission. We propose a model that aims at providing insight into risk factors of superspreading events. Here, we use a social force model to estimate the superspreading potential of individuals walking in a bidirectional corridor. First, we applied the model to identify parameters that favor exposure to an infectious person in scattered crowds. We find that low walking speed and high body mass both increase the expected number of close exposures. Panic events exacerbate the risks while social distancing reduces both the number and duration of close encounters. Further, in dense crowds, pedestrians interact more and cannot easily maintain the social distance between them. The number of exposures increases with the density of person in the corridor. The study of movements reveals that individuals walking toward the center of the corridor tend to rotate and zigzag more than those walking along the edges, and thus have higher risks of superspreading. The corridor model can be applied to designing risk reduction measures for specific high volume venues, including transit stations, stadiums, and schools.https://www.frontiersin.org/articles/10.3389/fpubh.2023.1188732/fullsuperspreading eventspedestrian dynamicscontact patternssocial distancingsuperspreaders movementpanic |
| spellingShingle | Dramane Sam Idris Kanté Dramane Sam Idris Kanté Aissam Jebrane Abdelilah Hakim Adnane Boukamel Characterization of superspreaders movement in a bidirectional corridor using a social force model Frontiers in Public Health superspreading events pedestrian dynamics contact patterns social distancing superspreaders movement panic |
| title | Characterization of superspreaders movement in a bidirectional corridor using a social force model |
| title_full | Characterization of superspreaders movement in a bidirectional corridor using a social force model |
| title_fullStr | Characterization of superspreaders movement in a bidirectional corridor using a social force model |
| title_full_unstemmed | Characterization of superspreaders movement in a bidirectional corridor using a social force model |
| title_short | Characterization of superspreaders movement in a bidirectional corridor using a social force model |
| title_sort | characterization of superspreaders movement in a bidirectional corridor using a social force model |
| topic | superspreading events pedestrian dynamics contact patterns social distancing superspreaders movement panic |
| url | https://www.frontiersin.org/articles/10.3389/fpubh.2023.1188732/full |
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