Interaction Based Model for Identifying Asymptomatic Carriers of an Infectious Disease$vYaniv Ravid, Abraham Seidmann

Epidemiological models are commonly used to predict and describe the spread of a viral outbreak among a population. Many such models use differential equations and transition rates to predict the growth dynamics of the infectious and exposed groups with a greater population. These methods do not distinguish between infectious individuals. In this paper, we propose a new model that includes asymptomatic carriers while holding constant many of the transition rates and assumptions of the classical models. Our results replicate those described in similar research papers, showing that a small proportion of asymptomatic carriers can be responsible for a majority of the transmissions. We propose possible extensions to our model, an early classification algorithm to identify asymptomatic carriers, underlining the impactful applications it may have on healthcare management and public safety policymaking