Abstract
Seroprevalence studies on SARS-CoV-2 infections have been often based on study populations with non-random and non-representative samples, limiting the generalizability of their results. In this study, we investigated the representativity and the generalizability of the baseline (collected from October 16th, 2020, to April 18th, 2021) estimate of a pediatric seroprevalence study based in Montréal. We compared the change in the estimates of seroprevalence for two different weighting methods: marginal standardization and raking. The target population was the general pediatric population of Montréal and was based on 2016 Canadian census data. Study results show variation across the multiple weighting scenarios although both weighting methods performed similarly, each possessing its own strengths and weaknesses. However, we prefer raking due to its capacity to simultaneously weight for multiple underrepresented study population characteristics.
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