Since late 2019 the novel coronavirus, also known as COVID-19, has caused a pandemic that persists. This paper shows how a continuous-time Markov chain model for the spread of COVID-19 can be used to explain, and justify to undergraduate students, strategies now being used in attempts to control the virus. The material in the paper is written at the level of students who are taking an introductory course on the theory and applications of stochastic processes.

翻译：自2019年后期以来,新颖的科罗纳病毒(又称COVID-19)已经造成了一种大流行病。 本文展示了如何利用持续时间的关于COVID-19扩散的Markov连锁模型向本科生解释和说明目前用于控制病毒的战略。 论文中的材料是在接受有关随机过程理论和应用的入门课程的学生层次上撰写的。