Prevalence and demographics of 331 rare diseases and associated COVID-19-related mortality among 58 million individuals: a nationwide retrospective observational study

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Publication Details

Journal
The Lancet Digital Health
Published
2025-01-29
DOI
https://doi.org/10.1016/s2589-7500(24)00253-x
Citations
12
Primary Topic
Genomics and Rare Diseases
Type
article
Field-Weighted Citation Impact
21.81

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article

Prevalence and demographics of 331 rare diseases and associated COVID-19-related mortality among 58 million individuals: a nationwide retrospective observational study

Tudor Groza, Ana Torralbo, Mevhibe Hocaoğlu, Paul Taylor et al.
12 citations
The Lancet Digital Health
Genomics and Rare Diseases
21.81
article

Prevalence and demographics of 331 rare diseases and associated COVID-19-related mortality among 58 million individuals: a nationwide retrospective observational study

Tudor Groza, Ana Torralbo, Mevhibe Hocaoğlu, Paul Taylor, Christopher Tomlinson, Johan H. Thygesen, Honghan Wu, Jinge Wu, Hanane Issa, Thomas R Lumbers, Amitava Banerjee, Spiros Denaxas, Rouven Priedon, Cathie Sudlow, Kamlesh K. Khunti, Nikolas Pontikos, Tuankasfee Hama, Huayu Zhang, Harry Hemingway, Sara Khalid, Ana-Caterina Phiho-Gomes
article en
12 citations

Abstract

No abstract available for this paper.
The Lancet Digital HealthVol. 7(2)
European Bioinformatics Institute (GB), Moorfields Eye Hospital NHS Foundation Trust (GB), University of Leicester (GB), King's College London (GB), Nuffield Orthopaedic Centre (GB), British Heart Foundation (GB), University of Oxford (GB), Cicely Saunders International (GB), Health Data Research UK (GB), University College London (GB), University of Edinburgh (GB)
National Institute for Health and Care Research, Medical Research Council
Good health and well-being
Openalex Percentile: Top 0%
Genomics and Rare Diseases
21.81
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