Science mapping of COVID-19 contributions in primary health care by OECD countries: A machine learning approach
Our study highlights the importance of academic collaboration in addressing pandemic-related crises. The study recommends enhancing international collaboration, led by countries such as Canada, the USA, and the UK, to strengthen PHC systems during global health crises. It is deemed necessary to include experts and academics from the field of PHC in such structures. It also emphasizes the need for academic journals to improve transparency in funding sources through automated extraction of bibliometric data from platforms such as Web of Science and Scopus, which is crucial for shaping future health and education policies.
Authors
- Muhammet Damar (ORCID: https://orcid.org/0000-0002-3985-3073)
- Andrew D. Pinto (ORCID: https://orcid.org/0000-0003-1841-9347)
- Benita Hosseini
- Ümit Cali (ORCID: https://orcid.org/0000-0002-6402-0479)
- Ömer Aydın (ORCID: https://orcid.org/0000-0002-7137-4881)
Institutions
- University of Waterloo (CA)
- Manisa Celal Bayar University (TR)
- University of Toronto (CA)
- York University (CA)
- Norwegian University of Science and Technology (NO)
- Unity Health Toronto
- Muğla University (TR)
Publication Details
- Journal
- Digital Health
- Published
- 2025-05-01
- DOI
- https://doi.org/10.1177/20552076251389341
- Citations
- 1
- Primary Topic
- COVID-19 diagnosis using AI
- Type
- article
- Field-Weighted Citation Impact
- 1.36