Surviving the Zombie Apocalypse: A Population Dynamics Based Approach

Detalhes bibliográficos
Autor(a) principal: Miranda Filho,L. H.
Data de Publicação: 2020
Outros Autores: Ribeiro,Bruno V., Rocha,Paulo M.M., Santos,Daniel D.A., Sena,Natália C. de
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista Brasileira de Ensino de Física (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1806-11172020000100449
Resumo: 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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spelling Surviving the Zombie Apocalypse: A Population Dynamics Based ApproachZombie dynamicsInfectious diseasesNumerical modellingDiscrete modelAbstract 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.Sociedade Brasileira de Física2020-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1806-11172020000100449Revista Brasileira de Ensino de Física v.42 2020reponame:Revista Brasileira de Ensino de Física (Online)instname:Sociedade Brasileira de Física (SBF)instacron:SBF10.1590/1806-9126-rbef-2020-0071info:eu-repo/semantics/openAccessMiranda Filho,L. H.Ribeiro,Bruno V.Rocha,Paulo M.M.Santos,Daniel D.A.Sena,Natália C. deeng2020-06-19T00:00:00Zoai:scielo:S1806-11172020000100449Revistahttp://www.sbfisica.org.br/rbef/https://old.scielo.br/oai/scielo-oai.php||marcio@sbfisica.org.br1806-91261806-1117opendoar:2020-06-19T00:00Revista Brasileira de Ensino de Física (Online) - Sociedade Brasileira de Física (SBF)false
dc.title.none.fl_str_mv Surviving the Zombie Apocalypse: A Population Dynamics Based Approach
title Surviving the Zombie Apocalypse: A Population Dynamics Based Approach
spellingShingle Surviving the Zombie Apocalypse: A Population Dynamics Based Approach
Miranda Filho,L. H.
Zombie dynamics
Infectious diseases
Numerical modelling
Discrete model
title_short Surviving the Zombie Apocalypse: A Population Dynamics Based Approach
title_full Surviving the Zombie Apocalypse: A Population Dynamics Based Approach
title_fullStr Surviving the Zombie Apocalypse: A Population Dynamics Based Approach
title_full_unstemmed Surviving the Zombie Apocalypse: A Population Dynamics Based Approach
title_sort Surviving the Zombie Apocalypse: A Population Dynamics Based Approach
author Miranda Filho,L. H.
author_facet Miranda Filho,L. H.
Ribeiro,Bruno V.
Rocha,Paulo M.M.
Santos,Daniel D.A.
Sena,Natália C. de
author_role author
author2 Ribeiro,Bruno V.
Rocha,Paulo M.M.
Santos,Daniel D.A.
Sena,Natália C. de
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Miranda Filho,L. H.
Ribeiro,Bruno V.
Rocha,Paulo M.M.
Santos,Daniel D.A.
Sena,Natália C. de
dc.subject.por.fl_str_mv Zombie dynamics
Infectious diseases
Numerical modelling
Discrete model
topic Zombie dynamics
Infectious diseases
Numerical modelling
Discrete model
description 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.
publishDate 2020
dc.date.none.fl_str_mv 2020-01-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
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dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1806-11172020000100449
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1806-11172020000100449
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/1806-9126-rbef-2020-0071
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Sociedade Brasileira de Física
publisher.none.fl_str_mv Sociedade Brasileira de Física
dc.source.none.fl_str_mv Revista Brasileira de Ensino de Física v.42 2020
reponame:Revista Brasileira de Ensino de Física (Online)
instname:Sociedade Brasileira de Física (SBF)
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instname_str Sociedade Brasileira de Física (SBF)
instacron_str SBF
institution SBF
reponame_str Revista Brasileira de Ensino de Física (Online)
collection Revista Brasileira de Ensino de Física (Online)
repository.name.fl_str_mv Revista Brasileira de Ensino de Física (Online) - Sociedade Brasileira de Física (SBF)
repository.mail.fl_str_mv ||marcio@sbfisica.org.br
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