Estimating long COVID-19 prevalence across definitions and forms of sample selection

    May 2025 in “ Frontiers in Epidemiology ”
    Pietro Giorgio Lovaglio, Fabio Borgonovo, A. Margiotta, Mohamed Abdelbary Wafa Mowafy, Marta Colaneri, Alessandra Bandera, Andrea Gori, Amedeo Capetti
    The study highlights the need for standardized definitions and improved methodologies to accurately estimate the prevalence of long COVID-19 (LC), while addressing selection bias. It emphasizes the importance of developing targeted prevention strategies and suggests that future research should focus on prospective cohorts to better understand LC prevalence and its long-term health outcomes.
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