Using multiple sampling strategies to estimate SARS-CoV-2 epidemiological parameters from genomic sequencing data

Abstract

SARS-CoV-2 genome sequencing data can be used to infer epidemiological parameters, but the impact of the strategy used to select samples on these estimates is rarely considered. Here, the authors produce estimates using different sampling strategies and compare results to those based on case reporting data.