Building a Systematic Online Living Evidence Summary of COVID-19 Research
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Published:
Jun 24, 2021
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Kaitlyn Hair
Centre for Clinical Brain Sciences, The University of Edinburgh
Emily S. Sena
Centre for Clinical Brain Sciences, The University of Edinburgh
Emma Wilson
Centre for Clinical Brain Sciences, The University of Edinburgh
Gillian Currie
Centre for Clinical Brain Sciences, The University of Edinburgh
Malcolm Macleod
Centre for Clinical Brain Sciences
Zsanett Bahor
Chris Sena
Can Ayder
Centre for Clinical Brain Sciences, The University of Edinburgh
Jing Liao
Centre for Clinical Brain Sciences, The University of Edinburgh
Ezgi Tanriver Ayder
Centre for Clinical Brain Sciences, University of Edinburgh *Statement of potential conflicts of interest: ETA is an employee and shareholder of AstraZeneca. AstraZeneca, however, has no commercial interest in the material presented within this manuscript.
Joly Ghanawi
Anthony Tsang
Department of Nursing, Faculty of Health, Social and Psychology, Manchester Metropolitan University
Anne Collins
QED Biomedical Ltd
Alice Carstairs
Institute of Evolutionary Biology, University of Edinburgh
Sarah Antar
Faculty of Medicine, Mansoura University, Egypt
Katie Drax
School of Psychological Science, University of Bristol, BS81TU; MRC Integrative Epidemiology Unit, University of Bristol, BS8 2PR
Kleber Neves
Institute of Medical Biochemistry Leopoldo De Meis, Federal University of Rio de Janeiro
Thomas Ottavi
Yoke Yue Chow
David Henry
Institute for Evidence Based Healthcare, Bond University, Queensland, Australia
Cigdem Selli
Centre for Reproductive Health, The Queen's Medical Research Institute, The University of Edinburgh
Mariam Fofana
Massachusetts General Hospital
Martina Rudnicki
Faculty of Health, York University, Toronto, Canada
Brendan Gabriel
Aberdeen Cardiovascular and Diabetes Centre, The Rowett Institute, University of Aberdeen, UK
Esther J Pearl
The National Centre for the Replacement, Refinement and Reduction of Animals in Research
Simran S Kapoor
University of Edinburgh
Julija Baginskaite
Thermo Fisher Scientific
Santosh Shevade
Independent Consultant
Alexandria Chung
Marianna Antonia Przybylska
University of Edinburgh
David E Henshall
The Royal Infirmary of Edinburgh
Karina Lôbo Hajdu
Immunology and Tumor Biology Program - Research Coordination, Brazilian National Cancer Institute (INCA), Rio de Janeiro, Brazil
Sarah McCann
Berlin Institute of Health at Charité - Universitätsmedizin Berlin, QUEST Center, Charitéplatz 1, 10117 Berlin, Germany
Catherine Sutherland
Institute of Immunology & Infection Research, University of Edinburgh
Tiago Lubiana Alves
(1) Department of Clinical and Toxicological Analyses, School of Pharmaceutical Sciences, University of São Paulo, São Paulo, Brazil (2) Ronin Institute (globally distributed, see http://ronininstitute.org/)
Rachel Blacow
Rebecca J. Hood
Hunter Medical Research Institute and University of Newcastle, Newcastle, NSW, Australia
Nadia Soliman
Pain Research Group, Department of Surgery and Cancer, Imperial College London, Chelsea and Westminster Hospital, 369 Fulham Road, London, SW10 9NH, UK
Alison Harris
UK Dementia Research Institute, Centre for Discovery Brain Sciences, University of Edinburgh
Stephanie L. Swift
Swift Science Writing Ltd.
Torsten Rackoll
Berlin Institute of Health at Charité - Universitätsmedizin Berlin, QUEST Center, Charitéplatz 1, 10117 Berlin, Germany
Nathalie Percie du Sert
The National Centre for the Replacement, Refinement and Reduction of Animals in Research
Fergal Waldron
Institute of Evolutionary Biology, University of Edinbrugh
Magnus Macleod
Cambridge University
Ruth Moulson
Juin W. Low
Edinburgh Medical School, The University of Edinburgh
Kristiina Rannikmae
Centre for Medical Informatics, Usher Institute, University of Edinburgh, UK
Kirsten Miller
Colby College
Alexandra Bannach-Brown
Berlin Institute of Health at Charité - Universitätsmedizin Berlin, QUEST Center, Charitéplatz 1, 10117 Berlin, Germany
Fiona Kerr
Edinburgh Napier University
Harry L Hébert
Division of Population Health and Genomics, Mackenzie Building, Ninewells Hopsital and Medical School, University of Dundee, Dundee, DD2 4BF, UK
Sarah Gregory
Edinburgh Dementia Prevention, Centre for Clinical Brain Sciences, University of Edinburgh
Isaac William Shaw
Centre for Inflammation Research, University of Edinburgh
Alexander Christides
Western General Hospital, Edinburgh
Mohammed Alawady
Ministry of Health, Egypt
Robert Hillary
Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh
Alex Clark
Edinburgh Medical School, The University of Edinburgh
Natasha Jayasuriya
Samantha Sives
The Roslin Institute, University of Edinburgh
Ahmed Nazzal
Palestinian Ministry of Health
Nimesh Jayasuriya
Michael Sewell
Translational Neuroscience PhD Programme, Centre for Discovery Brain Sciences and the UK Dementia Research Institute, The University of Edinburgh, 1 George Square, Edinburgh EH8 9JZ, UK
Rita Bertani
King's College London, Department of Neuroscience Education
Helen Fielding
The Royal (Dick) School of Veterinary Studies (R(D)SVS) and the Roslin Institute, Hospital for Small Animals, Easter Bush Veterinary Centre, Midlothian EH25 9RG, UK.
Broc Drury
Centre for Inflammation Research, University of Edinburgh
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.
Building a Systematic Online Living Evidence Summary of COVID-19 Research. J Eur Assoc Health Info Libr [Internet]. 2021 Jun. 24 [cited 2024 Nov. 23];17(2):21-6. Available from: https://ojs.eahil.eu/JEAHIL/article/view/465
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How to Cite
1.
Building a Systematic Online Living Evidence Summary of COVID-19 Research. J Eur Assoc Health Info Libr [Internet]. 2021 Jun. 24 [cited 2024 Nov. 23];17(2):21-6. Available from: https://ojs.eahil.eu/JEAHIL/article/view/465