English Intern
Lehrstuhl für klinische Epidemiologie und Biometrie

Olga Miljukov

kurzer Lebenslauf

seit 2020 Wissenschaftliche Mitarbeiterin am Institut für Klinische Epidemiologie und Biometrie an der Universität Würzburg
2019-2020 Application-Engineer und Biometrikerin in der Zentrale für Klinische Studien des Universitätsklinikums Würzburg
2017-2019 Studium Master of Science in Medical Biometry/ Biostatistics, Universität Bremen
2018 Praktikum am Institut für Klinische Epidemiologie und Biometrie an der Universität Würzburg
2017 Praktikum im Center for Clinical Research and Development, National Center for Child Health & Development (Tokio, Japan)
2013-2017 Studium Bachelor of Arts Medizinisches Informationsmanagment, Hochschule Hannover
2011-2013 Ausbildung zur Medizinischen Fachangestellten, Hannover

wissenschaftliche Schwerpunkte

Biometrie

Hauptpublikationen der letzten Jahre

2024[ to top ]
  • 1.
    Morbach C, Gelbrich G, Schreckenberg M, Hedemann M, Pelin D, Scholz N, et al. Population data-based federated machine learning improves automated echocardiographic quantification of cardiac structure and function: the Automatisierte Vermessung der Echokardiographie project. Eur Heart J Digit Health. 2024;5(1):77-88.
2023[ to top ]
  • 1.
    Schmiemann G, Greser A, Maun A, Bleidorn J, Schuster A, Miljukov O, et al. Effects of a multimodal intervention in primary care to reduce second line antibiotic prescriptions for urinary tract infections in women: parallel, cluster randomised, controlled trial. Bmj. 2023;383:e076305.
  • 1.
    Yusuf KO, Chaplinskaya-Sobol I, Schoneberg A, Hanss S, Valentin H, Lorenz-Depiereux B, et al. Impact of Clinical Study Implementation on Data Quality Assessments - Using Contradictions within Interdependent Health Data Items as a Pilot Indicator. Stud Health Technol Inform. 2023;307:152-8.
  • 1.
    Yusuf KO, Miljukov O, Schoneberg A, Hanß S, Wiesenfeldt M, Stecher M, et al. Consistency as a Data Quality Measure for German Corona Consensus Items Mapped from National Pandemic Cohort Network Data Collections. Methods Inf Med. 2023;62(S 01):e47-e56.
  • 1.
    Steinbeis F, Thibeault C, Steinbrecher S, Ahlgrimm Y, Haack IA, August D, et al. Analysis of acute COVID-19 including chronic morbidity: protocol for the deep phenotyping National Pandemic Cohort Network in Germany (NAPKON-HAP). Infection. 2023;.
2022[ to top ]
  • 1.
    Schons M, Pilgram L, Reese JP, Stecher M, Anton G, Appel KS, et al. The German National Pandemic Cohort Network (NAPKON): rationale, study design and baseline characteristics. Eur J Epidemiol. 2022;37(8):849-70.
  • 1.
    Appel KS, Maier D, Hopff SM, Mitrov L, Stecher M, Scherer M, et al. 1886. External Validation of the 4C Mortality Score and the qSOFA for Different Variants of Concerns of SARS-CoV-2 Using Data of the NAPKON Cross-Sectoral Cohort Platform (SUEP). Open Forum Infectious Diseases [Internet]. 2022;9(Supplement_2). Available from: https://doi.org/10.1093/ofid/ofac492.1513
  • 1.
    Koll CEM, Hopff SM, Meurers T, Lee CH, Kohls M, Stellbrink C, et al. Statistical biases due to anonymization evaluated in an open clinical dataset from COVID-19 patients. Sci Data. 2022;9(1):776.
  • 1.
    Parisi S, Lehner N, Schrader H, Kierer L, Fleischer A, Miljukov O, et al. Experiencing COVID-19, home isolation and primary health care: A mixed-methods study. Front Public Health. 2022;10:1023431.
  • 1.
    Bahmer T, Borzikowsky C, Lieb W, Horn A, Krist L, Fricke J, et al. Severity, predictors and clinical correlates of Post-COVID syndrome (PCS) in Germany: A prospective, multi-centre, population-based cohort study. EClinicalMedicine. 2022;51:101549.
2021[ to top ]
  • 1.
    Vollmuth C, Miljukov O, Abu-Mugheisib M, Angermaier A, Barlinn J, Busetto L, et al. Impact of the coronavirus disease 2019 pandemic on stroke teleconsultations in Germany in the first half of 2020. European Journal of Neurology [Internet]. 2021;28(10):3267-78. Available from: https://onlinelibrary.wiley.com/doi/abs/10.1111/ene.14787