Lena Schmidbauer
kurzer Lebenslauf
seit 2022 | Wissenschaftliche Mitarbeiterin am Institut für Klinische Epidemiologie und Biometrie an der Universität Würzburg |
2022 | Masterarbeit am Lehrstuhl für Epidemiologie an der Universität Augsburg |
2020-2022 | Studium M.Sc. Public Health in Ludwig-Maximilian-Universität München |
2016- 2020 | Studium B.A. Pflegemanagement an der Katholischen Stiftungshochschule München |
2006-2009 | Ausbildung zur Pflegefachperson, Augsburg |
wissenschaftliche Schwerpunkte
Versorgungsforschung, Public Health
Hauptpublikationen der letzten Jahre
2024[ to top ]
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Predictors of non-recovery from fatigue and cognitive deficits after COVID-19: a prospective, longitudinal, population-based study. eClinicalMedicine [Internet]. 2024;69:102456. Available from: https://www.sciencedirect.com/science/article/pii/S258953702400035X.
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Estimates of protection levels against SARS-CoV-2 infection and severe COVID-19 in Germany before the 2022/2023 winter season: the IMMUNEBRIDGE project. Infection. 2024;52(1):139-53..
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Prognostic Utility of Pericardial Effusion in the General Population: Findings From the STAAB Cohort Study. Journal of the American Heart Association [Internet]. 2024;:e035549. Available from: https://www.ahajournals.org/doi/abs/10.1161/JAHA.124.035549.
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2023[ to top ]
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Barriers and facilitators in the implementation of mobilization robots in hospitals from the perspective of clinical experts and developers. BMC Nurs. 2023;22(1):45..
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[The use of robotic and technical systems for early mobilization of intensive care patients: A scoping review]. Pflege. 2023;36(3):156-67..
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The association between the number of symptoms and the severity of Post-COVID-Fatigue after SARS-CoV-2 infection treated in an outpatient setting. J Neurol. 2023;270(7):3294-302..
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2021[ to top ]
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Very Early Robot-Assisted Mobilization of Intensive Care Patients - A Scoping Review. Stud Health Technol Inform. 2021;281:1073-4..
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