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Modeling Communicable Diseases, Human Mobility, and Epidemics: A Review

  • Identification data

    Identifier: imarina:9247342
    Authors:
    Soriano-Panos, DavidCota, WesleyFerreira, Silvio CGhoshal, GourabArenas, AlexGomez-Gardenes, Jesus
    Abstract:
    The spatiotemporal propagation patterns of recent infectious diseases, originated as localized epidemic outbreaks and eventually becoming global pandemics, are highly influenced by human mobility. Case exportation from endemic areas to the rest of the countries has become unavoidable because of the striking growth of the global mobility network, helping to overcome the physical distance existing between faraway regions. In this context, understanding the features driving contagions upon the arrival of an index case in local environments constitutes an essential task to devise policies aimed at avoiding the community transmission of these diseases and the subsequent case exportation to other unaffected areas. In this review, an overview of the different models addressing this topic is given, focusing on the movement–interaction–return model and different subsequent frameworks introduced to explain the complex interplay between the recurrent movements and contagion dynamics.
  • Others:

    Author, as appears in the article.: Soriano-Panos, David; Cota, Wesley; Ferreira, Silvio C; Ghoshal, Gourab; Arenas, Alex; Gomez-Gardenes, Jesus
    Department: Enginyeria Informàtica i Matemàtiques
    URV's Author/s: Arenas Moreno, Alejandro
    Keywords: Networks Human mobility Epidemics
    Abstract: The spatiotemporal propagation patterns of recent infectious diseases, originated as localized epidemic outbreaks and eventually becoming global pandemics, are highly influenced by human mobility. Case exportation from endemic areas to the rest of the countries has become unavoidable because of the striking growth of the global mobility network, helping to overcome the physical distance existing between faraway regions. In this context, understanding the features driving contagions upon the arrival of an index case in local environments constitutes an essential task to devise policies aimed at avoiding the community transmission of these diseases and the subsequent case exportation to other unaffected areas. In this review, an overview of the different models addressing this topic is given, focusing on the movement–interaction–return model and different subsequent frameworks introduced to explain the complex interplay between the recurrent movements and contagion dynamics.
    Thematic Areas: Physics, multidisciplinary Physics and astronomy (miscellaneous) Physics and astronomy (all) Physics Matemática / probabilidade e estatística General physics and astronomy Filosofía Engenharias iii Astronomia / física
    licence for use: https://creativecommons.org/licenses/by/3.0/es/
    Author's mail: alexandre.arenas@urv.cat
    Author identifier: 0000-0003-0937-0334
    Record's date: 2024-09-28
    Papper version: info:eu-repo/semantics/publishedVersion
    Link to the original source: https://onlinelibrary.wiley.com/doi/full/10.1002/andp.202100482
    Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
    Papper original source: Annalen Der Physik. 534 (6): 2100482-
    APA: Soriano-Panos, David; Cota, Wesley; Ferreira, Silvio C; Ghoshal, Gourab; Arenas, Alex; Gomez-Gardenes, Jesus (2022). Modeling Communicable Diseases, Human Mobility, and Epidemics: A Review. Annalen Der Physik, 534(6), 2100482-. DOI: 10.1002/andp.202100482
    Article's DOI: 10.1002/andp.202100482
    Entity: Universitat Rovira i Virgili
    Journal publication year: 2022
    Publication Type: Journal Publications
  • Keywords:

    Physics,Physics and Astronomy (Miscellaneous),Physics, Multidisciplinary
    Networks
    Human mobility
    Epidemics
    Physics, multidisciplinary
    Physics and astronomy (miscellaneous)
    Physics and astronomy (all)
    Physics
    Matemática / probabilidade e estatística
    General physics and astronomy
    Filosofía
    Engenharias iii
    Astronomia / física
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