Estimating long COVID-19 prevalence across definitions and forms of sample selection
This study provides one of the most comprehensive analyses of LC prevalence while accounting for selection bias. Our findings call for standardized LC definitions, improved epidemiological methodologies, and targeted prevention strategies. Future research should explore prospective cohorts to refine LC prevalence estimates and investigate long-term health outcomes.
Authors
- Amedeo Capetti (ORCID: https://orcid.org/0000-0003-4633-1035)
- Mohamed Abdelbary Wafa Mowafy (ORCID: https://orcid.org/0000-0002-0687-9090)
- Fabio Borgonovo (ORCID: https://orcid.org/0000-0001-5796-671X)
- Pietro Giorgio Lovaglio (ORCID: https://orcid.org/0000-0002-2340-0547)
- Alessandra Bandera (ORCID: https://orcid.org/0000-0001-9440-4601)
- Marta Colaneri (ORCID: https://orcid.org/0000-0002-5939-9576)
- A. Margiotta
- Andrea Gori (ORCID: https://orcid.org/0000-0001-6587-4794)
Institutions
- University of Milan (IT)
- Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico (IT)
- Ospedale Maggiore (IT)
- Luigi Sacco Hospital (IT)
- University of Milano-Bicocca (IT)
Publication Details
- Journal
- Frontiers in Epidemiology
- Published
- 2025-05-30
- DOI
- https://doi.org/10.3389/fepid.2025.1597799
- Citations
- 2
- Primary Topic
- Long-Term Effects of COVID-19
- Type
- article
- Field-Weighted Citation Impact
- 2.78
Funders
- European Commission