Effects of Contact Tracing and Self-Reporting in a Network Disease Model

We examine the effects of symptomatic individuals getting tested and the use of contact tracing in a network model of disease transmission on different epidemio-logical metrics. These metrics include the length of the epidemic, number of people infected, number of tests performed, and the likelihood of an epidemic occurring. We utilize a network model to resolve the influence of contact patterns between individuals as opposed to assuming mass action where all individuals are connected to each other. We find that the effects of self-reporting and contact tracing vary depending on the structure of the network. We also compare the results from the network model with an analogous ODE model that assumes mass action and demonstrate how the results can be dramatically and surprisingly different.