Saved in:
| Main Authors: | , , , , , , , , , |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2410.12502 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866914974563041280 |
|---|---|
| author | Ek, Kaisa Avela, Aleksi Haaki, Willehard Helander, Sami Lumme, Ville Mutikainen, Terho Pere, Jaakko Vesselinova, Natalia Viitasaari, Lauri Ilmonen, Pauliina |
| author_facet | Ek, Kaisa Avela, Aleksi Haaki, Willehard Helander, Sami Lumme, Ville Mutikainen, Terho Pere, Jaakko Vesselinova, Natalia Viitasaari, Lauri Ilmonen, Pauliina |
| contents | The recent COVID-19 pandemic has highlighted the need of studying extreme, life-threatening phenomena in advance. In this article, a zombie epidemic in Uusimaa region in Finland is modeled. A stochastic agent based simulation model is proposed and extensive simulations are conducted for this purpose. The model utilizes knowledge on defensive human behavior during crises. Studying the effects of a hypothetical zombie attack resembles examining the spread of deadly diseases and of rumors. A zombie attack is simulated in the most densely populated region in Finland. The region's exact population densities over its rasterized geographical map are utilized. Furthermore, the simulations are used to study the effect of implementing a (strict or partial) quarantine area in the epicenter. Computationally efficient Scala codes and video animations of the simulated epidemics are provided. The main findings emphasize the importance of implementing very strict measures, without delay, to stop the outbreak. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2410_12502 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Zombie Epidemic -- on Modeling the Effect of Interventions Ek, Kaisa Avela, Aleksi Haaki, Willehard Helander, Sami Lumme, Ville Mutikainen, Terho Pere, Jaakko Vesselinova, Natalia Viitasaari, Lauri Ilmonen, Pauliina Applications The recent COVID-19 pandemic has highlighted the need of studying extreme, life-threatening phenomena in advance. In this article, a zombie epidemic in Uusimaa region in Finland is modeled. A stochastic agent based simulation model is proposed and extensive simulations are conducted for this purpose. The model utilizes knowledge on defensive human behavior during crises. Studying the effects of a hypothetical zombie attack resembles examining the spread of deadly diseases and of rumors. A zombie attack is simulated in the most densely populated region in Finland. The region's exact population densities over its rasterized geographical map are utilized. Furthermore, the simulations are used to study the effect of implementing a (strict or partial) quarantine area in the epicenter. Computationally efficient Scala codes and video animations of the simulated epidemics are provided. The main findings emphasize the importance of implementing very strict measures, without delay, to stop the outbreak. |
| title | Zombie Epidemic -- on Modeling the Effect of Interventions |
| topic | Applications |
| url | https://arxiv.org/abs/2410.12502 |