Evidence map›Paper›PMID 40307880›Full record

ArticleArchives of public health = Archives belges de sante publique2025

SARS-CoV-2 genomic contextual data harmonization: recommendations from a mixed methods analysis of COVID-19 case report forms across Canada.

Rhiannon Cameron, Sarah Savić Kallesøe, Emma J Griffiths, Damion Dooley, Aishwarya Sridhar, Anoosha Sehar, Lauren C Tindale, William W L Hsiao

Abstract read
In one paragraph

Article in Archives of public health = Archives belges de sante publique, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

8 authors.

Rhiannon CameronFaculty of Health Sciences, Simon Fraser University, Burnaby, BC, Canada.ORCID http://orcid.org/0000-0002-9578-0788
Sarah Savić KallesøeFaculty of Health Sciences, Simon Fraser University, Burnaby, BC, Canada.ORCID http://orcid.org/0000-0003-1329-8275
Emma J GriffithsFaculty of Health Sciences, Simon Fraser University, Burnaby, BC, Canada.ORCID http://orcid.org/0000-0002-1107-9135
Damion DooleyFaculty of Health Sciences, Simon Fraser University, Burnaby, BC, Canada.ORCID http://orcid.org/0000-0002-8844-9165
Aishwarya SridharFaculty of Health Sciences, Simon Fraser University, Burnaby, BC, Canada.ORCID http://orcid.org/0000-0002-4880-8311
Anoosha SeharFaculty of Health Sciences, Simon Fraser University, Burnaby, BC, Canada.ORCID http://orcid.org/0000-0001-5275-8866
Lauren C TindaleDepartment of Pathology & Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada.ORCID http://orcid.org/0000-0001-7751-1042
William W L HsiaoFaculty of Health Sciences, Simon Fraser University, Burnaby, BC, Canada. wwhsiao@sfu.ca.ORCID http://orcid.org/0000-0002-1342-4043

Funding

Genome BC Computational Biology and Bioinformatics 286GETGenome Canada E09CMA
6 · The paper itself

Abstract

backgroundThe timely sharing of public health information is critical during a pandemic and is an obstacle that Canada has yet to fully address. During the COVID-19 pandemic, sequencing of the SARS-CoV-2 genome enhanced our understanding of transmission patterns, aided in identifying variants of concern, and supported the development and evaluation of diagnostic tests and vaccines. The Canadian national response faced challenges in aggregating genomic contextual data and carrying out integrated analysis across regions partly due to disparities in COVID-19 case report forms used to capture epidemiological and clinical data that accompanies SARS-CoV-2 sequence data. Such variations delay data integration and make consistent analysis difficult or impossible. The objective of this work was to understand what information was being collected from COVID-19 case report forms used across Canada and identify potential contextual data harmonization issues and solutions.

methodsProvincial/territorial/national Canadian COVID-19 case report forms were subjected to field-by-field comparisons to identify variations in data categorization, structures, formats, types, granularity, ambiguity, and questions asked. Federal epidemiologists were consulted to substantiate the results.

resultsData harmonization issues and common data elements were identified. We make recommendations for better national coordination, integrated databases, and data harmonization tools.

conclusionThis report compares data elements of the various case report forms used across Canada to identify overlaps and differences in the collection method of COVID-19 case information, while also highlighting data harmonization complications and potential solutions. Identifying available data elements will better guide COVID-19 surveillance and research.

Indexed as

CanadaCorrelation of dataCOVID-19Data collectionData curationMetadataPublic healthSARS-CoV-2

Identifiers

PMID40307880
PMCPMC12042453

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.