A causal debiasing framework provides accurate estimates of local prevalence and effective reproduction number for surveillance of SARS-CoV-2 cases using data from randomized testing schemes to model ascertainment bias in targeted subpopulation data.
- George Nicholson
- Brieuc Lehmann
- Chris Holmes