A counterfactual framework for estimating infectious disease prevalence under repeated testing with symptomatic and contact-tracing components
A counterfactual framework is developed that links the observation process to a hypothetical process in which infection is prevented, and enables unbiased estimation of disease prevalence by modeling the testing process, possibly nonparametrically, without requiring explicit modeling of transmission dynamics.