Extended Compartmental Models of Covid-19: a Cell-DEVS Definition
Susceptible-Infected-Recovered (SIR) models have been used to study the spread of COVID-19. In previous works, the standard SIR model has been expanded to include new states as well as geographical level transmission dynamics. We present an extended model using the Cell-DEVS formalism that simulates the effect asymptomatic COVID-19 cases have on a population. The model is an easily adaptable framework that allows for rapid prototyping and modifications. We exemplify how to build and easily change the model using public health units of Ontario as a case study. The results show the effect asymptomatic carriers have on overall case counts and exposures at the provincial level as well as at the city level.
Presented at the IEEE/ACM DS-RT 2021 conference