Bibliometric analysis identifies trends in rehabilitation for long COVID, suggesting growth and collaboration challenges.
The health care community has moved from emergency response models to sustained recovery models for the rehabilitation of post-acute sequelae of severe acute respiratory syndrome coronavirus 2 infection, commonly referred to as long COVID. This study aimed to provide a comprehensive bibliometric visualization and thematic analysis of global research output from 2020 to 2025 on rehabilitation interventions for long COVID and related post-viral disorders. The PubMed database was systematically searched to retrieve bibliometric records. VOSviewer and Biblioshiny were used to conduct a multidimensional analysis. Key metrics included annual scientific production, Lotka's law for author productivity, Bradford's law for core source identification, and country collaboration mapping. The life-cycle model (R2=0.929) indicated that the field evolved in a predictable pattern, with continuous and accelerated development. However, the projected stabilization should be interpreted as a description of initial growth rather than as definitive evidence of disciplinary maturity. Scientific output in this area increased sharply and peaked in 2024. Thematic visualization identified 3 broad thematic groupings. Lotka's law indicated a dispersed and fragmented research community, with approximately 90% of authors contributing only 1 document. Physiotherapy research for long COVID has shifted from early pulmonary-centered approaches toward more interdisciplinary models focused on cognitive health and fatigue.
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Madhusmita Koch (2026) studied this question.
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