Using automation to produce a ‘living map’ of the COVID-19 research literature

Ian Shemilt, Anneliese Arno, James Thomas, Theo Lorenc, Claire Khouja, Gary Raine, Katy Sutcliffe, Preethy D'Souza, Kath Wright, Amanda Sowden

Research output: Contribution to journalArticlepeer-review


The COVID-19 pandemic has disrupted life worldwide and presented unique challenges in the health evidencesynthesis space. The urgent nature of the pandemic required extreme rapidity for keeping track of research, andthis presented a unique opportunity for long-proposed automation systems to be deployed and evaluated. Wecompared the use of novel automation technologies with conventional manual screening; and Microsoft AcademicGraph (MAG) with the MEDLINE and Embase databases locating the emerging research evidence. We foundthat a new workflow involving machine learning to identify relevant research in MAG achieved a much higherrecall with lower manual effort than using conventional approaches.
Original languageEnglish
Pages (from-to)11-15
Number of pages5
JournalJournal of the European Association for Health Information and Libraries
Issue number2
Publication statusPublished - 23 Jun 2021

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© 2021, The Author(s).

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