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      Surviving the Zombie Apocalypse: A Population Dynamics Based Approach

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          Abstract

          Abstract Living-dead creatures are recurrent in various folk myths and recently became an icon of popular culture. The “zombie-ism” is usually caused by an infectious-like disease that has no cure and ultimately inflicts most of the human population, leading to a Zombie Apocalypse. In this work, we propose an epidemiological model for a zombie outbreak. By introducing an infection parameter, we show that human survival is possible in certain scenarios. Furthermore, our model allows for three distinct dynamical regimes, only one of which accounts for the full blown Zombie Apocalypse. Our results are obtained both for a fully connected time continuous model and for a stochastic individual based approach.

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          Author and article information

          Journal
          rbef
          Revista Brasileira de Ensino de Física
          Rev. Bras. Ensino Fís.
          Sociedade Brasileira de Física (São Paulo, SP, Brazil )
          1806-1117
          1806-9126
          2020
          : 42
          : e20200071
          Affiliations
          [2] Riacho Fundo I DF orgnameInstituto Federal de Brasília Brasil
          [4] Planaltina DF orgnameInstituto Federal de Brasília Brasil
          [1] Recife Pernambuco orgnameUniversidade Federal Rural de Pernambuco Brazil
          [5] Gama DF orgnameInstituto Federal de Brasília Brasil
          [3] Brasília Distrito Federal orgnameUniversidade de Brasília Brazil
          Article
          S1806-11172020000100449 S1806-1117(20)04200000449
          10.1590/1806-9126-rbef-2020-0071
          f43046b4-0553-42be-8f41-75203b3e0544

          This work is licensed under a Creative Commons Attribution 4.0 International License.

          History
          : 14 May 2020
          : 22 February 2020
          Page count
          Figures: 0, Tables: 0, Equations: 0, References: 22, Pages: 0
          Product

          SciELO Brazil

          Categories
          Articles

          Numerical modelling,Discrete model,Zombie dynamics,Infectious diseases

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