Evidence map›Paper›PMID 38450137›Full record

ArticleFrontiers in public health2024

Cohort profile: the British Columbia COVID-19 Cohort (BCC19C)-a dynamic, linked population-based cohort.

James Wilton, Jalud Abdulmenan, Mei Chong, Ana Becerra, Mehazabeen Najmul Hussain, Sean P Harrigan, Héctor Alexander Velásquez García, Zaeema Naveed, Hind Sbihi, Kate Smolina and 13 more

Abstract read
In one paragraph

Article in Frontiers in public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

23 authors.

James WiltonBC Center for Disease Control, Provincial Health Services Authority, Vancouver, BC, Canada.
Jalud AbdulmenanData Analytics, Reporting, and Evaluation, Provincial Health Services Authority, Vancouver, BC, Canada.
Mei ChongBC Center for Disease Control, Provincial Health Services Authority, Vancouver, BC, Canada.
Ana BecerraBC Center for Disease Control, Provincial Health Services Authority, Vancouver, BC, Canada.
Mehazabeen Najmul HussainData Analytics, Reporting, and Evaluation, Provincial Health Services Authority, Vancouver, BC, Canada.
Sean P HarriganBC Center for Disease Control, Provincial Health Services Authority, Vancouver, BC, Canada.
Héctor Alexander Velásquez GarcíaBC Center for Disease Control, Provincial Health Services Authority, Vancouver, BC, Canada.
Zaeema NaveedBC Center for Disease Control, Provincial Health Services Authority, Vancouver, BC, Canada.
Hind SbihiBC Center for Disease Control, Provincial Health Services Authority, Vancouver, BC, Canada.
Kate SmolinaBC Center for Disease Control, Provincial Health Services Authority, Vancouver, BC, Canada.
Marsha TaylorBC Center for Disease Control, Provincial Health Services Authority, Vancouver, BC, Canada.
Binay AdhikariBC Center for Disease Control, Provincial Health Services Authority, Vancouver, BC, Canada.
Moe ZandyBC Center for Disease Control, Provincial Health Services Authority, Vancouver, BC, Canada.
Solmaz SetayeshgarBC Center for Disease Control, Provincial Health Services Authority, Vancouver, BC, Canada.
Julia LiBC Center for Disease Control, Provincial Health Services Authority, Vancouver, BC, Canada.
Younathan AbdiaBC Center for Disease Control, Provincial Health Services Authority, Vancouver, BC, Canada.
Mawuena BinkaBC Center for Disease Control, Provincial Health Services Authority, Vancouver, BC, Canada.
Drona RasaliBC Center for Disease Control, Provincial Health Services Authority, Vancouver, BC, Canada.
Caren RoseBC Center for Disease Control, Provincial Health Services Authority, Vancouver, BC, Canada.
Michael CossData Analytics, Reporting, and Evaluation, Provincial Health Services Authority, Vancouver, BC, Canada.
Alexandra FlattProvincial Health Services Authority, Vancouver, BC, Canada.
Seyed Ali Mussavi RiziData Analytics, Reporting, and Evaluation, Provincial Health Services Authority, Vancouver, BC, Canada.
Naveed Zafar JanjuaBC Center for Disease Control, Provincial Health Services Authority, Vancouver, BC, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: 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. Participants: 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. Findings to date: 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. Future plans: 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.

Indexed as

COVID-19British ColumbiaHumansMalePandemicsPost-Acute COVID-19 SyndromeProspective StudiesRetrospective StudiesSARS-CoV-2administrative datacohort profileCOVID-19linked datapopulation-based data

Identifiers

PMID38450137
PMCPMC10914982

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.