The outbreak and propagation of COVID-19 have posed a considerable challenge to modern society. In particular, the different restrictive actions taken by governments to prevent the spread of the virus have changed the way humans interact and conceive interaction. Due to geographical, behavioral, or economic factors, different sub-groups among a population are more (or less) likely to interact, and thus to spread/acquire the virus. In this work, we present a general multi-group SEIRA model for representing the spread of COVID-19 among a heterogeneous population and test it in a numerical case of study. By highlighting its applicability and the ease with which its general formulation can be adapted to particular studies, we expect our model to lead us to a better understanding of the evolution of this pandemic and to better public-health policies to control it.

COVID-19的爆发和传播给现代社会带来了相当大的挑战。尤其是各国政府为防止病毒传播而采取的不同限制措施，改变了人类互动的方式和构思互动的方式。由于地理、行为或经济因素，人口中的不同亚群更有可能（或更少）相互作用，从而传播/感染病毒。在这项工作中，我们提出了一个通用的多组 SEIRA 模型，用于表示 COVID-19 在异质人群中的传播，并在数值研究案例中对其进行了测试。通过强调其适用性和其一般公式可以轻松适应特定研究，