SARS-CoV-2 Seroprevalence in Canada

This dataset contains population level infection-acquired and vaccine-induced seroprevalence estimates stratified by geography (Canada or by province), social determinants and age group. Data were compiled from over 20 research studies collaborating with the CITF. Trends in SARS-CoV-2 seroprevalence owing to infection and vaccination were then estimated by geographical region using a time-series approach. The analysis was conducted using a Bayesian framework and generalized linear multilevel models for β-binomial distributed outcomes.

本数据集涵盖按地理区域（加拿大全国或按省份划分）、社会决定因素及年龄组分层的人群水平自然感染相关与疫苗诱导的血清学流行率估算结果。该数据集整合了与CITF合作的20余项研究所得数据。随后，研究人员通过时间序列分析法，按地理区域估算了由自然感染与疫苗接种引发的SARS-CoV-2（严重急性呼吸综合征冠状病毒2型）血清学流行率变化趋势。本次分析采用贝叶斯框架，并针对服从β二项分布的结局变量使用了广义线性多层模型。