The value of large-scale, real-world data — from electronic health records (EHRs), for example — has been used to establish vaccine efficacy, to elucidate the genetic etiologies of diseases, and to advance epidemiological research. Real-world data also have the potential to capture the wide spectrum of clinical features attributed to post-acute sequalae of SARS-CoV-2, also called long COVID, in diverse patient populations.

Potential pitfalls in the use of real-world data for studying long COVID

Agapito G.;Albi G.;Bellazzi R.;Cannataro M.;Mazzitelli M.;Milano M.;Torti C.;Trecarichi E. M.;Zucco C.;
2023-01-01

Abstract

The value of large-scale, real-world data — from electronic health records (EHRs), for example — has been used to establish vaccine efficacy, to elucidate the genetic etiologies of diseases, and to advance epidemiological research. Real-world data also have the potential to capture the wide spectrum of clinical features attributed to post-acute sequalae of SARS-CoV-2, also called long COVID, in diverse patient populations.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.12317/85458
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