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

Kaitlyn Hair Centre for Clinical Brain Sciences, The University of Edinburgh
Emily S. Sena Centre for Clinical Brain Sciences, The University of Edinburgh https://orcid.org/0000-0002-3282-8502
Emma Wilson Centre for Clinical Brain Sciences, The University of Edinburgh https://orcid.org/0000-0002-8100-7508
Gillian Currie Centre for Clinical Brain Sciences, The University of Edinburgh https://orcid.org/0000-0003-3052-2929
Malcolm Macleod Centre for Clinical Brain Sciences https://orcid.org/0000-0001-9187-9839
Zsanett Bahor https://orcid.org/0000-0002-4042-5914
Chris Sena https://orcid.org/0000-0002-7691-0567
Can Ayder Centre for Clinical Brain Sciences, The University of Edinburgh https://orcid.org/0000-0002-2212-7470
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. https://orcid.org/0000-0002-9653-2540
Joly Ghanawi https://orcid.org/0000-0002-7945-2055
Anthony Tsang Department of Nursing, Faculty of Health, Social and Psychology, Manchester Metropolitan University https://orcid.org/0000-0002-2735-7515
Anne Collins QED Biomedical Ltd https://orcid.org/0000-0002-2991-2703
Alice Carstairs Institute of Evolutionary Biology, University of Edinburgh https://orcid.org/0000-0003-2622-0776
Sarah Antar Faculty of Medicine, Mansoura University, Egypt https://orcid.org/0000-0001-6091-2835
Katie Drax School of Psychological Science, University of Bristol, BS81TU; MRC Integrative Epidemiology Unit, University of Bristol, BS8 2PR https://orcid.org/0000-0002-2838-6211
Kleber Neves Institute of Medical Biochemistry Leopoldo De Meis, Federal University of Rio de Janeiro https://orcid.org/0000-0001-9519-4909
Thomas Ottavi
Yoke Yue Chow
David Henry Institute for Evidence Based Healthcare, Bond University, Queensland, Australia https://orcid.org/0000-0003-2934-2242
Cigdem Selli Centre for Reproductive Health, The Queen's Medical Research Institute, The University of Edinburgh https://orcid.org/0000-0001-5330-8568
Mariam Fofana Massachusetts General Hospital https://orcid.org/0000-0002-2874-471X
Martina Rudnicki Faculty of Health, York University, Toronto, Canada https://orcid.org/0000-0002-7863-5044
Brendan Gabriel Aberdeen Cardiovascular and Diabetes Centre, The Rowett Institute, University of Aberdeen, UK https://orcid.org/0000-0001-6878-8779
Esther J Pearl The National Centre for the Replacement, Refinement and Reduction of Animals in Research https://orcid.org/0000-0001-6510-0959
Simran S Kapoor University of Edinburgh https://orcid.org/0000-0002-2408-9834
Julija Baginskaite Thermo Fisher Scientific
Santosh Shevade Independent Consultant https://orcid.org/0000-0002-5939-5428
Alexandria Chung https://orcid.org/0000-0001-5221-5570
Marianna Antonia Przybylska University of Edinburgh https://orcid.org/0000-0002-8843-1766
David E Henshall The Royal Infirmary of Edinburgh https://orcid.org/0000-0001-7377-3969
Karina Lôbo Hajdu Immunology and Tumor Biology Program - Research Coordination, Brazilian National Cancer Institute (INCA), Rio de Janeiro, Brazil https://orcid.org/0000-0001-9655-3870
Sarah McCann Berlin Institute of Health at Charité - Universitätsmedizin Berlin, QUEST Center, Charitéplatz 1, 10117 Berlin, Germany https://orcid.org/0000-0003-4737-2349
Catherine Sutherland Institute of Immunology & Infection Research, University of Edinburgh https://orcid.org/0000-0002-5862-4014
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/) https://orcid.org/0000-0003-2473-2313
Rachel Blacow
Rebecca J. Hood Hunter Medical Research Institute and University of Newcastle, Newcastle, NSW, Australia https://orcid.org/0000-0001-7485-4883
Nadia Soliman Pain Research Group, Department of Surgery and Cancer, Imperial College London, Chelsea and Westminster Hospital, 369 Fulham Road, London, SW10 9NH, UK https://orcid.org/0000-0003-4443-5439
Alison Harris UK Dementia Research Institute, Centre for Discovery Brain Sciences, University of Edinburgh https://orcid.org/0000-0002-4114-783X
Stephanie L. Swift Swift Science Writing Ltd. https://orcid.org/0000-0002-8545-8322
Torsten Rackoll Berlin Institute of Health at Charité - Universitätsmedizin Berlin, QUEST Center, Charitéplatz 1, 10117 Berlin, Germany https://orcid.org/0000-0003-2170-5803
Nathalie Percie du Sert The National Centre for the Replacement, Refinement and Reduction of Animals in Research https://orcid.org/0000-0002-9478-0540
Fergal Waldron Institute of Evolutionary Biology, University of Edinbrugh https://orcid.org/0000-0003-2622-0776
Magnus Macleod Cambridge University https://orcid.org/0000-0003-2743-2746
Ruth Moulson
Juin W. Low Edinburgh Medical School, The University of Edinburgh https://orcid.org/0000-0002-6890-6883
Kristiina Rannikmae Centre for Medical Informatics, Usher Institute, University of Edinburgh, UK https://orcid.org/0000-0002-2384-7568
Kirsten Miller Colby College
Alexandra Bannach-Brown Berlin Institute of Health at Charité - Universitätsmedizin Berlin, QUEST Center, Charitéplatz 1, 10117 Berlin, Germany https://orcid.org/0000-0002-3161-1395
Fiona Kerr Edinburgh Napier University https://orcid.org/0000-0003-3097-1951
Harry L Hébert Division of Population Health and Genomics, Mackenzie Building, Ninewells Hopsital and Medical School, University of Dundee, Dundee, DD2 4BF, UK https://orcid.org/0000-0003-1753-6592
Sarah Gregory Edinburgh Dementia Prevention, Centre for Clinical Brain Sciences, University of Edinburgh https://orcid.org/0000-0001-9864-8240
Isaac William Shaw Centre for Inflammation Research, University of Edinburgh https://orcid.org/0000-0002-5628-0318
Alexander Christides Western General Hospital, Edinburgh https://orcid.org/0000-0002-9476-9827
Mohammed Alawady Ministry of Health, Egypt
Robert Hillary Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh https://orcid.org/0000-0002-2595-552X
Alex Clark Edinburgh Medical School, The University of Edinburgh
Natasha Jayasuriya
Samantha Sives The Roslin Institute, University of Edinburgh https://orcid.org/0000-0001-9234-1125
Ahmed Nazzal Palestinian Ministry of Health https://orcid.org/0000-0003-0220-9695
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 http://orcid.org/0000-0003-0113-6551
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. https://orcid.org/0000-0001-7041-1380
Broc Drury Centre for Inflammation Research, University of Edinburgh https://orcid.org/0000-0001-8198-9217

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.

DOI: https://doi.org/10.32384/jeahil17465

Published

2021-06-24

How to Cite

Hair K, Sena E, Wilson E, Currie G, Macleod M, Bahor Z, Sena C, Ayder C, Liao J, Tanriver Ayder E, Ghanawi J, Tsang A, Collins A, Carstairs A, Antar S, Drax K, Neves K, Ottavi T, Chow YY, Henry D, Selli C, Fofana M, Rudnicki M, Gabriel B, Pearl E, Kapoor S, Baginskaite J, Shevade S, Chung A, Przybylska M, Henshall D, Hajdu K, McCann S, Sutherland C, Lubiana Alves T, Blacow R, Hood R, Soliman N, Harris A, Swift S, Rackoll T, Percie du Sert N, Waldron F, Macleod M, Moulson R, Low J, Rannikmae K, Miller K, Bannach-Brown A, Kerr F, Hébert H, Gregory S, Shaw I, Christides A, Alawady M, Hillary R, Clark A, Jayasuriya N, Sives S, Nazzal A, Jayasuriya N, Sewell M, Bertani R, Fielding H, Drury B. Building a Systematic Online Living Evidence Summary of COVID-19 Research. JEAHIL [Internet]. 24Jun.2021 [cited 25Apr.2024];17(2):21-6. Available from: http://ojs.eahil.eu/ojs/index.php/JEAHIL/article/view/465

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Issue

Vol 17 No 2 (2021)

Section

Feature Articles

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