Congratulations on the successful defence of your doctoral thesis, Gisbert!
Congratulations to Gisbert Teepe on successfully defending his doctoral thesis, Towards Digital Biomarkers for Subclinical and Clinical Depression. Gisbert was co-supervised by Prof. Dr. Elgar Fleisch, Prof. Dr. Tobias Kowatsch & Prof. Dr Nicholas Jacobson. In addition to his main work, the BEDDA study, he took the (co-)lead in the following publications:
- Teepe, G., Lukic, Y., Kleim, B., Jacobson, N.C., Schneider, F., Santhanam, P., Fleisch, E., Kowatsch, T. (2023) Development of a digital biomarker and intervention for subclinical depression: study protocol for a longitudinal waitlist control study, BMC Psychology 11, 186. 10.1186/s40359-023-01215-1.
- Teepe, G. W., Glase, E. M. & Reips, U.-D. (2023) Increasing digitalization is associated with anxiety and depression: A Google Ngram analysis. PloS one 18, e0284091, 10.1371/journal.pone.0284091
- Keller, O., Budney, A., Struble, C.A., Teepe, G. (2023) Blending Digital Therapeutics within the Healthcare System, In N. Jacobson, T. Kowatsch, & L. A. Marsch (eds.), Digital Therapeutics for Mental Health and Addiction: The State of the Science and Vision for the Future (1st ed.), Elsevier, Academic Press: Cambridge, MA, USA, 978-0-323-90045-4.
- Teepe, G., Kowatsch, T., Hans, F., Benning, L. (2023) Postmarketing Follow-Up of a Digital Home Exercise Program for Back, Hip, and Knee Pain: Retrospective Observational Study With a Time-Series and Matched-Pair Analysis, Journal of Medical Internet Research (JMIR), 2023;25:e43775, 10.2196/43775.
- Teepe, G., Kowatsch, T., Hans, F., Benning, L. (2022) Preliminary use and outcome data of a digital home exercise program for back, hip, and knee pain: A retrospective observational study with a time-series and matched analysis, JMIR Mhealth Uhealth (JMU) 2022; Vol. 10 (No. 12):e38649 10.2196/38649
- Teepe, G., Da Fonseca, A., Kleim, B., Jacobson, N.C., Salamanca-Sanabria, A., Tudor Car, L., Fleisch, E., Kowatsch, T. (2021) Just-in-Time Adaptive Mechanisms of Popular Mobile Apps for Individuals With Depression: Systematic App Search and Literature Review, Journal of Medical Internet Research (JMIR) 23(9):e29412, 10.2196/29412.