Evidence map›Paper›PMID 36815866›Full record

ArticleCanada communicable disease report = Releve des maladies transmissibles au Canada2023

COVID-19 literature surveillance-A framework to manage the literature and support evidence-based decision-making on a rapidly evolving public health topic.

Tricia Corrin, Dima Ayache, Austyn Baumeister, Kaitlin Young, Kusala Pussegoda, Rukshanda Ahmad, Lisa Waddell

Abstract read
In one paragraph

Article in Canada communicable disease report = Releve des maladies transmissibles au Canada, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 pooled it
–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

10 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Evidence brief on facilitators, barriers and hesitancy of COVID-19 booster doses in Canada.Canada communicable disease report = Releve des maladies transmissibles au Canada · 2024
    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. Article
  10. 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

7 authors.

Tricia CorrinPublic Health Risk Sciences Division, National Microbiology Laboratory, Public Health Agency of Canada, Winnipeg, MB.
Dima AyachePublic Health Risk Sciences Division, National Microbiology Laboratory, Public Health Agency of Canada, Winnipeg, MB.
Austyn BaumeisterPublic Health Risk Sciences Division, National Microbiology Laboratory, Public Health Agency of Canada, Winnipeg, MB.
Kaitlin YoungPublic Health Risk Sciences Division, National Microbiology Laboratory, Public Health Agency of Canada, Winnipeg, MB.
Kusala PussegodaPublic Health Risk Sciences Division, National Microbiology Laboratory, Public Health Agency of Canada, Winnipeg, MB.
Rukshanda AhmadCentre for Food-borne, Environmental and Zoonotic Infectious Diseases, Infectious Disease Prevention Branch, Public Health Agency of Canada, Ottawa, ON.
Lisa WaddellPublic Health Risk Sciences Division, National Microbiology Laboratory, Public Health Agency of Canada, Winnipeg, MB.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The coronavirus disease 2019 (COVID-19) pandemic has led to a rapid surge of literature on severe acute respiratory syndrome coronavirus 2 and the wider impacts of the pandemic. Research on COVID-19 has been produced at an unprecedented rate, and the ability to stay on top of the most relevant evidence is top priority for clinicians, researchers, public health professionals and policymakers. This article presents a knowledge synthesis methodology developed and used by the Public Health Agency of Canada for managing and maintaining a literature surveillance system to identify, characterize, categorize and disseminate COVID-19 evidence daily. Methods: The Daily Scan of COVID-19 Literature project comprised a systematic process involving four main steps: literature search; screening for relevance; classification and summarization of studies; and disseminating a daily report. Results: As of the end of March 2022 there were approximately 300,000 COVID-19 and pandemic-related citations in the COVID-19 database, of which 50%-60% were primary research. Each day, a report of all new COVID-19 citations, literature highlights and a link to the updated database was generated and sent to a mailing list of over 200 recipients including federal, provincial and local public health agencies and academic institutions. Conclusion: This central repository of COVID-19 literature was maintained in real time to aid in accelerated evidence synthesis activities and support evidence-based decision-making during the pandemic response in Canada. This systematic process can be applied to future rapidly evolving public health topics that require the continuous evaluation and dissemination of evidence.

Indexed as

COVID-19evidence-based decision-makingevidence synthesisknowledge synthesisliterature surveillanceSARS-CoV-2

Identifiers

PMID36815866
PMCPMC9902036

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.