Geographically skewed recruitment and COVID-19 seroprevalence estimates: a cross-sectional serosurveillance study and mathematical modelling analysis.

ABSTRACT:

Objectives

Convenience sampling is an imperfect but important tool for seroprevalence studies. For COVID-19, local geographic variation in cases or vaccination can confound studies that rely on the geographically skewed recruitment inherent to convenience sampling. The objectives of this study were: (1) quantifying how geographically skewed recruitment influences SARS-CoV-2 seroprevalence estimates obtained via convenience sampling and (2) developing new methods that employ Global Positioning System (GPS)-derived foot traffic data to measure and minimise bias and uncertainty due to geographically skewed recruitment.

Design

We used data from a local convenience-sampled seroprevalence study to map the geographic distribution of study participants' reported home locations and c

SUBMITTER: Brown T 

PROVIDER: S-EPMC10008195 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature