From post

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed.

 

Другие публикации лиц с тем же именем

Statistical biases due to anonymization evaluated in an open clinical dataset from COVID-19 patients., , , , , , , , , и 17 other автор(ы). (2022)Long-term health sequelae and quality of life at least 6 months after infection with SARS-CoV-2: design and rationale of the COVIDOM-study as part of the NAPKON population-based cohort platform (POP), , , , , , , , , и 31 other автор(ы). Infection, 49 (6): 1277-1287 (2021)Persisting chemosensory dysfunction in COVID-19 - a cross-sectional population-based survey, , , , , , , , , и 11 other автор(ы). Rhinology, 61 (1): 12-23 (2023)Statistical biases due to anonymization evaluated in an open clinical dataset from COVID-19 patients, , , , , , , , , и 16 other автор(ы). Sci Data, 9 (1): 776 (2022)Severity, predictors and clinical correlates of Post-COVID syndrome (PCS) in Germany: A prospective, multi-centre, population-based cohort study, , , , , , , , , и 20 other автор(ы). EClinicalMedicine, (2022)Studying long-term health and quality of life after infection with SARS-CoV-2: design and rationale of the population-based NAPKON POP study, , , , , , , , , и 31 other автор(ы). (2021)The German National Pandemic Cohort Network (NAPKON): rationale, study design and baseline characteristics, , , , , , , , , и 65 other автор(ы). Eur J Epidemiol, 37 (8): 849-870 (2022)Consistency as a Data Quality Measure for German Corona Consensus Items Mapped from National Pandemic Cohort Network Data Collections, , , , , , , , , и 16 other автор(ы). Methods Inf Med, 62 (S 01): e47-e56 (2023)Definition of the Post-COVID syndrome using a symptom-based Post-COVID score in a prospective, multi-center, cross-sectoral cohort of the German National Pandemic Cohort Network (NAPKON), , , , , , , , , и 26 other автор(ы). Infection, (2024)Persistent symptoms and risk factors predicting prolonged time to symptom-free after SARS‑CoV‑2 infection: an analysis of the baseline examination of the German COVIDOM/NAPKON-POP cohort, , , , , , , , , и 13 other автор(ы). Infection, (2023)