COVID-19 vaccine evidence monitoring assisted by artificial Intelligence: An emergency system implemented by the Public Health Agency of Canada to capture and describe the trajectory of evolving pandemic vaccine literature
This hybrid (AI and human) approach was critical for PHAC situational awareness and the development of timely vaccine guidance in Canada during the COVID-19 pandemic. Given the volume of data and analyses required, the AI-augmented processes made this massive undertaking manageable. Analysis of COVID-19 vaccine research patterns supports projections of research volume, type, and rate that will help predict resourcing and information needs to plan future emergency vaccine guidance activities.
Authors
- Adrienne Stevens (ORCID: https://orcid.org/0000-0002-6257-4806)
- Mona Hersi (ORCID: https://orcid.org/0000-0003-1784-1167)
- Matthew Tunis (ORCID: https://orcid.org/0000-0003-2092-9143)
- Joseline Zafack (ORCID: https://orcid.org/0000-0001-5261-3333)
- Nicole Forbes (ORCID: https://orcid.org/0000-0002-2645-695X)
- Kelly Farrah
- April Killikelly
- Ramya Krishnan (ORCID: https://orcid.org/0000-0002-8445-8427)
- Joshua Montroy
- Eva Wong
- S.H. Lim (ORCID: https://orcid.org/0009-0005-0018-2945)
- Kelsey Young
- Y.-C. Chung
- Bonnie Rook
Institutions
- Public Health Agency of Canada (CA)
Publication Details
- Journal
- Vaccine X
- Published
- 2024-10-25
- DOI
- https://doi.org/10.1016/j.jvacx.2024.100575
- Citations
- 1
- Primary Topic
- COVID-19 diagnosis using AI
- Type
- article
- Field-Weighted Citation Impact
- 0.40
Funders
- Public Health Agency of Canada
- Public Health Agency