Global Research Trends in Chronic Care for Comorbid Allergic Diseases: A Web of Science Bibliometric Review (1999-2024)
- PMID: 41361064
- DOI: 10.1007/s11882-025-01238-1
Global Research Trends in Chronic Care for Comorbid Allergic Diseases: A Web of Science Bibliometric Review (1999-2024)
Abstract
Purpose of review: This study employs bibliometric methods to analyze global research trends in managing comorbid allergic diseases (e.g., allergic rhinitis, asthma, eczema, food allergies), aiming to identify key contributors, frameworks, and research gaps.
Recent findings: Bibliometric analysis of Web of Science data using CiteSpace, Excel, and R revealed an increasing trend in research output, with the U.S., U.K., and China being the leading contributors. Key chronic disease frameworks like the Chronic Care Model, Self-Management Program, and Innovative Care Framework were highly cited. Research hotspots included management strategies, prevalence, risk factors, and quality of life, with increasing focus on management approaches over time. The findings highlight the rising importance of interdisciplinary collaboration in managing comorbid allergic diseases. Tailored management strategies are required to address the chronic and complex nature of these conditions. Future research should focus on improving treatment efficacy and enhancing patient quality of life, as significant gaps remain in optimizing long-term care for these conditions.
Keywords: Allergic comorbidities; Bibliometrics; Chronic disease management; Global health; Intervention.
© 2025. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.
Conflict of interest statement
Declarations. Ethics Approval: Not applicable, as this study did not involve any human or animal testing. Consent to Participate: Not applicable, as this study did not involve any human or animal testing. Consent for Publication: Not applicable, as this study did not involve any individual person’s data Statement on Generative AI: The authors declare that no generative AI tools were used in the creation of this manuscript. Competing Interests: The authors declare no competing interests.
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