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.

翻译：近期COVID-19疫情凸显了预先研究极端生命威胁现象的必要性。本文对芬兰新地区域的僵尸疫情进行了建模。为此提出了一种基于随机智能体的仿真模型并开展了大量模拟。该模型利用了危机期间人类防御性行为的相关知识。研究假设性僵尸袭击的影响类似于考察致命疾病与谣言的传播机制。模拟在芬兰人口最稠密的区域进行僵尸袭击场景，并利用该区域栅格化地理地图上的精确人口密度数据。此外，通过模拟研究了在疫情中心实施（严格或部分）隔离区的效果。研究提供了计算高效的Scala代码及疫情模拟的视频动画。主要结论强调：必须毫不延迟地实施极其严格的措施以阻断疫情爆发。