Evidence map›Paper›PMID 35480703›Full record

ArticleCanada communicable disease report = Releve des maladies transmissibles au Canada2022

The need for linked genomic surveillance of SARS-CoV-2.

Caroline Colijn, David Jd Earn, Jonathan Dushoff, Nicholas H Ogden, Michael Li, Natalie Knox, Gary Van Domselaar, Kristyn Franklin, Gordon Jolly, Sarah P Otto

Open access · diamondAbstract read
In one paragraph

Article in Canada communicable disease report = Releve des maladies transmissibles au Canada, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
2.1field-weighted citation impact, top 11% of its field
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

20 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Integrated framework to study genomic surveillance of selective sweeps in multivariants dynamics.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Mathematical modelling for pandemic preparedness in Canada: Learning from COVID-19.Canada communicable disease report = Releve des maladies transmissibles au Canada · 2024
    Article
  9. Review
  10. Article
  11. Article
  12. Coupled models of genomic surveillance and evolving pandemics with applications for timely public health interventions.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  13. Article
  14. Article
  15. Article
  16. Canadian COVID-19 Outbreak Surveillance System: implementation of national surveillance during a global pandemic.Canadian journal of public health = Revue canadienne de sante publique · 2023
    Article
  17. Article
  18. Review
  19. Article
  20. Review
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

10 authors at 2 institutions in 1 country.

Caroline ColijnDepartment of Mathematics, Simon Fraser University, Burnaby, BC.
David Jd EarnDepartment of Mathematics & Statistics and M. G. DeGroote Institute for Infectious Disease Research, McMaster University, Hamilton, ON.
Jonathan DushoffDepartment of Biology and M. G. DeGroote Institute for Infectious Disease Research, McMaster University, Hamilton, ON.
Nicholas H OgdenPublic Health Risk Sciences Division, National Microbiology Laboratory, Public Health Agency of Canada, St.-Hyacinthe, QC.
Michael LiPublic Health Risk Sciences Division, National Microbiology Laboratory, Public Health Agency of Canada, Guelph, ON.
Natalie KnoxNational Microbiology Laboratory, Public Health Agency of Canada and Department of Medical Microbiology & Infectious Diseases, University of Manitoba, Winnipeg, MB.
Gary Van DomselaarNational Microbiology Laboratory, Public Health Agency of Canada and Department of Medical Microbiology & Infectious Diseases, University of Manitoba, Winnipeg, MB.
Kristyn FranklinCentre for Immunization and Respiratory Infectious Diseases, Public Health Agency of Canada, Calgary, AB.
Gordon JollyPublic Health Genomics, Public Health Agency of Canada.
Sarah P OttoDepartment of Zoology & Biodiversity Research Centre, University of British Columbia, Vancouver, BC.
Public Health Agency of Canada · CASimon Fraser University · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genomic surveillance during the coronavirus disease 2019 (COVID-19) pandemic has been key to the timely identification of virus variants with important public health consequences, such as variants that can transmit among and cause severe disease in both vaccinated or recovered individuals. The rapid emergence of the Omicron variant highlighted the speed with which the extent of a threat must be assessed. Rapid sequencing and public health institutions' openness to sharing sequence data internationally give an unprecedented opportunity to do this; however, assessing the epidemiological and clinical properties of any new variant remains challenging. Here we highlight a "band of four" key data sources that can help to detect viral variants that threaten COVID-19 management: 1) genetic (virus sequence) data; 2) epidemiological and geographic data; 3) clinical and demographic data; and 4) immunization data. We emphasize the benefits that can be achieved by linking data from these sources and by combining data from these sources with virus sequence data. The considerable challenges of making genomic data available and linked with virus and patient attributes must be balanced against major consequences of not doing so, especially if new variants of concern emerge and spread without timely detection and action.

Identifiers

PMID35480703
PMCPMC9017802
OpenAlexW4223503935

What OpenQuestion holds

Textmetadata
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.