遇见数据集

The evolution of SARS-CoV-2 seroprevalence in Canada: a time-series study, 2020–2023

收藏
The Canadian Dataverse Repository2023-05-30 更新2026-04-17 收录
官方服务:

资源简介:

This dataset contains population level infection-acquired and vaccine-induced seroprevalence estimates stratified by geography (Canada or by province) and age. Data were compiled from 7 provincial and pan-Canadian research studies collaborating with the CITF, sampling from the general population. Trends in SARS-CoV-2 seroprevalence owing to infection and vaccination for the Canadian population were then estimated using a time-series approach. Seroprevalence was also estimated by geographical region and age. The analysis was conducted using a Bayesian framework and generalized linear multilevel models for β-binomial distributed outcomes.

提供机构:
McGill University
创建时间:
2023-05-30
二维码
社区交流群
二维码
科研交流群
商业服务