Building a Systematic Online Living Evidence Summary of COVID-19 Research

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Kaitlyn Hair
Emily S. Sena
Emma Wilson
Gillian Currie
Malcolm Macleod
Can Ayder
Jing Liao
Ezgi Tanriver Ayder
Anthony Tsang
Anne Collins
Alice Carstairs
Sarah Antar
Katie Drax
Kleber Neves
Thomas Ottavi
Yoke Yue Chow
David Henry
Cigdem Selli
Mariam Fofana
Martina Rudnicki
Brendan Gabriel
Esther J Pearl
Simran S Kapoor
Julija Baginskaite
Santosh Shevade
Marianna Antonia Przybylska
David E Henshall
Karina Lôbo Hajdu
Sarah McCann
Catherine Sutherland
Tiago Lubiana Alves
Rachel Blacow
Rebecca J. Hood
Nadia Soliman
Alison Harris
Stephanie L. Swift
Torsten Rackoll
Nathalie Percie du Sert
Fergal Waldron
Magnus Macleod
Ruth Moulson
Juin W. Low
Kristiina Rannikmae
Kirsten Miller
Alexandra Bannach-Brown
Fiona Kerr
Harry L Hébert
Sarah Gregory
Isaac William Shaw
Alexander Christides
Mohammed Alawady
Robert Hillary
Alex Clark
Natasha Jayasuriya
Samantha Sives
Ahmed Nazzal
Nimesh Jayasuriya
Michael Sewell
Rita Bertani
Helen Fielding
Broc Drury

Abstract

Throughout the global coronavirus pandemic, we have seen an unprecedented volume of COVID-19 researchpublications. This vast body of evidence continues to grow, making it difficult for research users to keep up with the pace of evolving research findings. To enable the synthesis of this evidence for timely use by researchers, policymakers, and other stakeholders, we developed an automated workflow to collect, categorise, and visualise the evidence from primary COVID-19 research studies. We trained a crowd of volunteer reviewers to annotate studies by relevance to COVID-19, study objectives, and methodological approaches. Using these human decisions, we are training machine learning classifiers and applying text-mining tools to continually categorise the findings and evaluate the quality of COVID-19 evidence.

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How to Cite
1.
Hair K, Sena ES, Wilson E, Currie G, Macleod M, Bahor Z, et al. Building a Systematic Online Living Evidence Summary of COVID-19 Research. J Eur Assoc Health Info Libr [Internet]. 2021 Jun. 24 [cited 2024 Jul. 3];17(2):21-6. Available from: https://ojs.eahil.eu/JEAHIL/article/view/465
Section
Feature Articles