English Intern
Lehrstuhl für klinische Epidemiologie und Biometrie

Carsten Vogel


Kurzer Lebenslauf

seit 2019 Wissenschaftlicher Mitarbeiter am Institut für Klinische Epidemiologie und Biometrie an der Universität Würzburg
2016-2019    Studium M.Sc. Informatik an der Universität Ulm
2011-2016 Studium B.Sc. Informatik an der Universität Ulm

Wissenschaftliche Schwerpunkte

Mobile Health (mHealth)


Projekte

Projektname URLs Zeitraum
pro-mental   2022-...
BETTER-CARE & ACTonCancer Mobile better-care.healthApple App StoreGoogle Play Store 2021-...
Myelom App   2020-...
Corona Health corona-health.net, Apple App StoreGoogle Play Store 2020
Corona Check Screening coronacheck.science, Apple App Store, Google Play Store 2020-2023

UNITI

uniti.tinnitusresearch.net, Apple App StoreGoogle Play Store 2019-...

TrackYourStress

Apple App Store,  Google Play Store 2019-...

TrackYourHealth

  2019-...

Intersession

Apple App Store 2018-2022

Publikationen der letzten Jahre

2024[ to top ]
  • 1.
    Horn A, Wendel J, Franke I, Bauer A, Baumeister H, Bendig E, Brucker SY, Deutsch TM, Garatva P, Haas K, Heil L, Hügen K, Manger H, Pryss R, Rücker V, Salmen J, Szczesny A, Vogel C, Wallwiener M, Wöckel A, Heuschmann PU, Ast A, Belke K, Beurer B, Bolkenius P, Freese K, Frumkin N, Gnauert K, Graf H, Hackmann J, Hartmann C, Hesse T, Hopp M, Keil E, Lehnert A, Müller C, Mundhenke C, Niestroj HP, Nixdorf A, Pankert K, Perez S, Radosa J, Rezek D, Seldte JP, Stalzer G, Sykorova Z, Tenger M, Volmer L, Würfel K, Zorr A, the BCSG. The BrEasT cancer afTER-CARE (BETTER-CARE) programme to improve breast cancer follow-up: design and feasibility study results of a cluster-randomised complex intervention trial. Trials [Internet]. 2024;25(1):767. Available from: https://doi.org/10.1186/s13063-024-08614-8
2023[ to top ]
  • 1.
    Beierle F, Allgaier J, Stupp C, Keil T, Schlee W, Schobel J, Vogel C, Haug F, Haug J, Holfelder M, Langguth B, Langguth J, Riens B, King R, Mulansky L, Schickler M, Stach M, Heuschmann P, Wildner M, Greger H, Reichert M, Kestler HA, Pryss R. Self-Assessment of Having COVID-19 With the Corona Check Mhealth App. IEEE J Biomed Health Inform. 2023;Pp.
  • 1.
    Engelke M, Simões J, Vogel C, Schoisswohl S, Schecklmann M, Wölflick S, Pryss R, Probst T, Langguth B, Schlee W. Pilot study of a smartphone-based tinnitus therapy using structured counseling and sound therapy: A multiple-baseline design with ecological momentary assessment. PLOS Digital Health [Internet]. 2023;2(1):e0000183. Available from: https://doi.org/10.1371/journal.pdig.0000183
  • 1.
    Simoes JP, Schoisswohl S, Schlee W, Basso L, Bernal-Robledano A, Boecking B, Cima R, Denys S, Engelke M, Escalera-Balsera A, Gallego-Martinez A, Gallus S, Kikidis D, López-Escámez JA, Marcrum SC, Markatos N, Martin-Lagos J, Martinez-Martinez M, Mazurek B, Vassou E, Jarach CM, Mueller-Locatelli N, Neff P, Niemann U, Omar HK, Puga C, Schleicher M, Unnikrishnan V, Perez-Carpena P, Pryss R, Robles-Bolivar P, Rose M, Schecklmann M, Schiele T, Schobel J, Spiliopoulou M, Stark S, Vogel C, Wunder N, Zachou Z, Langguth B. The statistical analysis plan for the unification of treatments and interventions for tinnitus patients randomized clinical trial (UNITI-RCT). Trials [Internet]. 2023;24(1):472. Available from: https://doi.org/10.1186/s13063-023-07303-2
  • 1.
    Vogel C, Bendig E, Garatva P, Stenzel L, Idrees AR, Kraft R, Baumeister H, Pryss R. A Highly Configurable EMA and JITAI Mobile App Framework Utilized in a Large-Scale German Study on Breast Cancer Aftercare. In: 2023 IEEE 36th International Symposium on Computer-Based Medical Systems (CBMS). 2023. pp. 103-10.
  • 1.
    Kleinau A, Flügel S, Pryss R, Vogel C, Engelke M, Schlee W, Unnikrishnan V, Spiliopoulou M. Predicting Patient-Based Time-Dependent Mobile Health Data. In: 2023 IEEE 36th International Symposium on Computer-Based Medical Systems (CBMS). 2023. pp. 79-84.
  • 1.
    Unnikrishnan V, Schleicher M, Puga C, Pryss R, Vogel C, Schlee W, Spiliopoulou M. A Similarity-Guided Framework for Error-Driven Discovery of Patient Neighbourhoods in EMA Data. In: Crémilleux B, Hess S, Nijssen S, editors. Advances in Intelligent Data Analysis XXI. Springer Nature Switzerland; 2023. pp. 459-71.
  • 1.
    Vogel C, Stach M, Allgaier J, Scheible J, Hofmann F, Pryss R. Exploring Concepts for Pipeline-Driven Mobile Health Data Dashboards: Insights from Personal Projects and GitHub Contributions. In: 2023 International Conference on Computational Science and Computational Intelligence (CSCI). 2023. pp. 1344-50.
2022[ to top ]
  • 1.
    O’Rourke T, Vogel C, John D, Pryss R, Schobel J, Haug F, Haug J, Pieh C, Nater UM, Feneberg AC, Reichert M, Probst T. The Impact of Coping Styles and Gender on Situational Coping: An Ecological Momentary Assessment Study With the mHealth Application TrackYourStress. Frontiers in Psychology [Internet]. 2022;13. Available from: https://www.frontiersin.org/articles/10.3389/fpsyg.2022.913125
2021[ to top ]
  • 1.
    Vogel C, Pryss R, Schobel J, Schlee W, Beierle F. Developing apps for researching the covid-19 pandemic with the trackyourhealth platform. In: 2021 IEEE/ACM 8th International Conference on Mobile Software Engineering and Systems (MobileSoft). IEEE; 2021. pp. 65-8.
  • 1.
    Beierle F, Schobel J, Vogel C, Allgaier J, Mulansky L, Haug F, Haug J, Schlee W, Holfelder M, Stach M, Schickler M, Baumeister H, Cohrdes C, Deckert J, Deserno L, Edler JS, Eichner FA, Greger H, Hein G, Heuschmann P, John D, Kestler HA, Krefting D, Langguth B, Meybohm P, Probst T, Reichert M, Romanos M, Störk S, Terhorst Y, Weiß M, Pryss R. Corona Health—A Study- and Sensor-Based Mobile App Platform Exploring Aspects of the COVID-19 Pandemic. International Journal of Environmental Research and Public Health [Internet]. 2021;18(14):7395. Available from: https://www.mdpi.com/1660-4601/18/14/7395
  • 1.
    Schlee W, Schoisswohl S, Staudinger S, Schiller A, Lehner A, Langguth B, Schecklmann M, Simoes J, Neff P, Marcrum SC, Spiliopoulou M, Niemann U, Schleicher M, Unnikrishnan V, Puga C, Mulansky L, Pryss R, Vogel C, Allgaier J, Giannopoulou E, Birki K, Liakou K, Cima R, Vlaeyen JWS, Verhaert N, Ranson S, Mazurek B, Brueggemann P, Boecking B, Amarjargal N, Specht S, Stege A, Hummel M, Rose M, Oppel K, Dettling-Papargyris J, Lopez-Escamez JA, Amanat S, Gallego-Martinez A, Escalera-Balsera A, Espinosa-Sanchez JM, Garcia-Valdecasas J, Mata-Ferron M, Martin-Lagos J, Martinez-Martinez M, Martinez-Martinez MJ, Müller-Locatelli N, Perez-Carpena P, Alcazar-Beltran J, Hidalgo-Lopez L, Vellidou E, Sarafidis M, Katrakazas P, Kostaridou V, Koutsouris D, Manta R, Paraskevopoulos E, Haritou M, Elgoyhen AB, Goedhart H, Koller M, Shekhawat GS, Crump H, Hannemann R, Holfelder M, Oberholzer T, Vontas A, Trochidis I, Moumtzi V, Cederroth CR, Koloutsou K, Spanoudakis G, Basdekis I, Gallus S, Lugo A, Stival C, Borroni E, Markatos N, Bibas A, Kikidis D. Towards a unification of treatments and interventions for tinnitus patients: The EU research and innovation action UNITI. In: Schlee W, Langguth B, Kleinjung T, Vanneste S, De Ridder D, editors. Progress in Brain Research [Internet]. Elsevier; 2021. pp. 441-5. Available from: https://www.sciencedirect.com/science/article/pii/S0079612320302351
  • 1.
    Vogel C, Schobel J, Schlee W, Engelke M, Pryss R. UNITI Mobile—EMI-Apps for a Large-Scale European Study on Tinnitus. In: 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). 2021. pp. 2358-62.
  • 1.
    Schlee W, Langguth B, Pryss R, Allgaier J, Mulansky L, Vogel C, Spiliopoulou M, Schleicher M, Unnikrishnan V, Puga C, Manta O, Sarafidis M, Kouris I, Vellidou E, Koutsouris D, Koloutsou K, Spanoudakis G, Cederroth C, Kikidis D. Using Big Data to Develop a Clinical Decision Support System for Tinnitus Treatment. In: Searchfield GD, Zhang J, editors. The Behavioral Neuroscience of Tinnitus [Internet]. Cham: Springer International Publishing; 2021. pp. 175-89. Available from: https://doi.org/10.1007/7854_2021_229
2020[ to top ]
  • 1.
    Stach M, Vogel C, Gablonski TC, Andreas S, Probst T, Reichert M, Schickler M, Pryss R. Technical Challenges of a Mobile Application Supporting Intersession Processes in Psychotherapy. Procedia Computer Science [Internet]. 2020;175:261-8. Available from: https://www.sciencedirect.com/science/article/pii/S187705092031718X
2019[ to top ]
  • 1.
    Gablonski TC, Pryss R, Probst T, Vogel C, Andreas S. Intersession-Online: A Smartphone Application for Systematic Recording and Controlling of Intersession Experiences in Psychotherapy. Vols. 2. 2019. pp. 480-95.