This work proposes an agent-based model to analyze the spread processes of the COVID-19 epidemics in open regions and based on hypothetical social scenarios of viral transmissibility. Differently from other previous models, we consider the environment to be a multi-region space in which the epidemic spreads according to the dynamics and the concentration of agents in such regions. This paper suggests that software agents can provide a more suitable model for individuals, and their features, thus showing the influence of civil society in the context of pandemic management. This is achieved by modeling an individual as an agent with a wide range of features (health condition, purchasing power, awareness, mobility, professional activity, age, and gender). The model supports the design of populations and interactions akin to real-life scenarios. Simulation results show that the proposed model can be applied in several ways to support decision-makers to better understand the epidemic spread and the actions that can be taken against the pandemic.

这项工作提出了一个基于代理的模型来分析 COVID-19 流行病在开放区域的传播过程，并基于病毒传播的假设社会场景。与之前的其他模型不同，我们将环境视为一个多区域空间，流行病根据这些区域的动态和代理集中度在其中传播。本文提出软件代理可以为个人及其特征提供更合适的模型，从而显示公民社会在大流行管理背景下的影响力。这是通过将个人建模为具有广泛特征（健康状况、购买力、意识、流动性、职业活动、年龄和性别）的代理人来实现的。该模型支持类似于现实生活场景的人群和交互设计。