Sequential epidemic-like spread between agglomerates of self-propelled agents in one dimension

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Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.contributorUniversidad Mayor-
Autor(es): dc.contributorUniversidad de Chile-
Autor(es): dc.creatorDe Castro, Pablo-
Autor(es): dc.creatorUrbina, Felipe-
Autor(es): dc.creatorNorambuena, Ariel-
Autor(es): dc.creatorGuzmán-Lastra, Francisca-
Data de aceite: dc.date.accessioned2025-08-21T22:16:53Z-
Data de disponibilização: dc.date.available2025-08-21T22:16:53Z-
Data de envio: dc.date.issued2025-04-29-
Data de envio: dc.date.issued2023-10-01-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1103/PhysRevE.108.044104-
Fonte completa do material: dc.identifierhttps://hdl.handle.net/11449/299287-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/299287-
Descrição: dc.descriptionMotile organisms can form stable agglomerates such as cities or colonies. In the outbreak of a highly contagious disease, the control of large-scale epidemic spread depends on factors like the number and size of agglomerates, travel rate between them, and disease recovery rate. While the emergence of agglomerates permits early interventions, it also explains longer real epidemics. In this work, we study the spread of susceptible-infected-recovered (SIR) epidemics (or any sort of information exchange by contact) in one-dimensional spatially structured systems. By working in one dimension, we establish a necessary foundation for future investigation in higher dimensions and mimic micro-organisms in narrow channels. We employ a model of self-propelled particles which spontaneously form multiple clusters. For a lower rate of stochastic reorientation, particles have a higher tendency to agglomerate and therefore the clusters become larger and less numerous. We examine the time evolution averaged over many epidemics and how it is affected by the existence of clusters through the eventual recovery of infected particles before reaching new clusters. New terms appear in the SIR differential equations in the last epidemic stages. We show how the final number of ever-infected individuals depends nontrivially on single-individual parameters. In particular, the number of ever-infected individuals first increases with the reorientation rate since particles escape sooner from clusters and spread the disease. For higher reorientation rate, travel between clusters becomes too diffusive and the clusters too small, decreasing the number of ever-infected individuals.-
Descrição: dc.descriptionICTP-South American Institute for Fundamental Research Instituto de Física Teórica UNESP, Rua Dr. Bento Teobaldo Ferraz 271-
Descrição: dc.descriptionCentro Multidisciplinario de Física Universidad Mayor, Huechuraba-
Descrição: dc.descriptionDepartment of Physics Faculty of Sciences Universidad de Chile-
Descrição: dc.descriptionICTP-South American Institute for Fundamental Research Instituto de Física Teórica UNESP, Rua Dr. Bento Teobaldo Ferraz 271-
Idioma: dc.languageen-
Relação: dc.relationPhysical Review E-
???dc.source???: dc.sourceScopus-
Título: dc.titleSequential epidemic-like spread between agglomerates of self-propelled agents in one dimension-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

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