Identifying clinically useful COVID-19 population and emergency department phenotypes across the pre-Omicron and Omicron periods
This study highlights the potential of phenotype identification based on a few accessible variables for a meaningful segregation of patients. This approach could be extended to future pandemics as a preventive public health strategy, especially considering the growing likelihood of facing new ones.
Authors
- María José Legarreta (ORCID: https://orcid.org/0000-0002-1778-5196)
- Daniel Fernández (ORCID: https://orcid.org/0000-0003-0012-2094)
- Irantzu Barrio (ORCID: https://orcid.org/0000-0003-0648-5769)
- José María Quintana (ORCID: https://orcid.org/0000-0003-2170-7876)
- Julia García-Asensio
- Nere Larrea (ORCID: https://orcid.org/0000-0001-6168-8214)
- Lander Rodriguez-Idiazabal
Institutions
- University of the Basque Country (ES)
- Basque Government (ES)
- Basque Center for Applied Mathematics (ES)
- BioCruces Health research Institute (ES)
- Red de Investigación en Actividades Preventivas y Promoción de la Salud (ES)
- Hospital de Galdakao (ES)
- Bioef - Fundación Vasca de Innovación e Investigación Sanitarias (ES)
- Research Network (United States) (US)
- Universitat Politècnica de Catalunya (ES)
Publication Details
- Journal
- Archives of Public Health
- Published
- 2025-08-04
- DOI
- https://doi.org/10.1186/s13690-025-01681-6
- Primary Topic
- COVID-19 Clinical Research Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- European Commission
- Generalitat de Catalunya
- Eusko Jaurlaritza
- Ministerio de Ciencia e Innovación
- Centro de Investigación Biomédica en Red de Salud Mental
- Basque Center for Applied Mathematics
- Red de Investigación en Servicios de Salud en Enfermedades Crónicas
- Instituto de Salud Carlos III
- Agencia Estatal de Investigación