Surviving the Zombie Apocalypse: A Population Dynamics Based Approach
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , , |
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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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 |
format |
article |
status_str |
publishedVersion |
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) instacron:SBF |
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 |
_version_ |
1752122424737923072 |