BC Center for Disease Control, Provincial Health Services Authority, Vancouver, BC, Canada.
Data Analytics, Reporting, and Evaluation, Provincial Health Services Authority, Vancouver, BC, Canada.
Front Public Health. 2024 Feb 21;12:1248905. doi: 10.3389/fpubh.2024.1248905. eCollection 2024.
The British Columbia COVID-19 Cohort (BCC19C) was developed from an innovative, dynamic surveillance platform and is accessed/analyzed through a cloud-based environment. The platform integrates recently developed provincial COVID-19 datasets (refreshed daily) with existing administrative holdings and provincial registries (refreshed weekly/monthly). The platform/cohort were established to inform the COVID-19 response in near "real-time" and to answer more in-depth epidemiologic questions.
The surveillance platform facilitates the creation of large, up-to-date analytic cohorts of people accessing COVID-19 related services and their linked medical histories. The program of work focused on creating/analyzing these cohorts is referred to as the BCC19C. The administrative/registry datasets integrated within the platform are not specific to COVID-19 and allow for selection of "control" individuals who have not accessed COVID-19 services.
The platform has vastly broadened the range of COVID-19 analyses possible, and outputs from BCC19C analyses have been used to create dashboards, support routine reporting and contribute to the peer-reviewed literature. Published manuscripts (total of 15 as of July, 2023) have appeared in high-profile publications, generated significant media attention and informed policy and programming. In this paper, we conducted an analysis to identify sociodemographic and health characteristics associated with receiving SARS-CoV-2 laboratory testing, testing positive, and being fully vaccinated. Other published analyses have compared the relative clinical severity of different variants of concern; quantified the high "real-world" effectiveness of vaccines in addition to the higher risk of myocarditis among younger males following a 2nd dose of an mRNA vaccine; developed and validated an algorithm for identifying long-COVID patients in administrative data; identified a higher rate of diabetes and healthcare utilization among people with long-COVID; and measured the impact of the pandemic on mental health, among other analyses.
While the global COVID-19 health emergency has ended, our program of work remains robust. We plan to integrate additional datasets into the surveillance platform to further improve and expand covariate measurement and scope of analyses. Our analyses continue to focus on retrospective studies of various aspects of the COVID-19 pandemic, as well as prospective assessment of post-acute COVID-19 conditions and other impacts of the pandemic.
不列颠哥伦比亚 COVID-19 队列(BCC19C)源自一个创新的、动态的监测平台,并通过基于云的环境进行访问/分析。该平台整合了最近开发的省级 COVID-19 数据集(每日更新)以及现有的行政数据和省级注册中心(每周/每月更新)。建立该平台/队列是为了在“近乎实时”的情况下为 COVID-19 应对措施提供信息,并回答更深入的流行病学问题。
该监测平台促进了创建大型、最新的 COVID-19 相关服务使用者分析队列及其相关病史。专注于创建/分析这些队列的项目称为 BCC19C。该平台中整合的行政/注册数据集并非特定于 COVID-19,允许选择未使用 COVID-19 服务的“对照”个体。
该平台极大地拓宽了 COVID-19 分析的范围,BCC19C 分析的结果被用于创建仪表板、支持常规报告并为同行评审文献做出贡献。截至 2023 年 7 月,已发表的论文(共 15 篇)发表在知名出版物上,引起了广泛的媒体关注,并为政策和规划提供了信息。在本文中,我们进行了一项分析,以确定与接受 SARS-CoV-2 实验室检测、检测呈阳性和完全接种疫苗相关的社会人口学和健康特征。其他已发表的分析比较了不同关注变体的相对临床严重程度;量化了除了 mRNA 疫苗第二针后年轻男性心肌炎风险增加之外,疫苗在现实世界中的高有效性;在行政数据中开发并验证了一种识别长 COVID 患者的算法;确定了长 COVID 患者中糖尿病和医疗保健利用率较高;以及衡量大流行对心理健康的影响等分析。
虽然全球 COVID-19 卫生紧急情况已经结束,但我们的工作项目仍然很强大。我们计划将更多数据集集成到监测平台中,以进一步改进和扩大协变量测量和分析范围。我们的分析继续侧重于 COVID-19 大流行各个方面的回顾性研究,以及对急性 COVID-19 后状况和大流行其他影响的前瞻性评估。