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Corona Health—A Study- and Sensor-Based Mobile App Platform Exploring Aspects of the COVID-19 Pandemic

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Institute of Clinical Epidemiology and Biometry, University of Würzburg, 97080 Würzburg, Germany
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DigiHealth Institute, Neu-Ulm University of Applied Sciences, 89231 Neu-Ulm, Germany
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Institute of Databases and Information Systems, Ulm University, 89081 Ulm, Germany
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Department of Psychiatry and Psychotherapy, University Regensburg, 93053 Regensburg, Germany
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LA2 GmbH, 91054 Erlangen, Germany
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Department of Clinical Psychology and Psychotherapy, Ulm University, 89081 Ulm, Germany
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Mental Health Research Unit, Department of Epidemiology and Health Monitoring, Robert Koch Institute, 12101 Berlin, Germany
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Department of Psychiatry, Psychosomatics and Psychotherapy, Center of Mental Health, University Hospital Würzburg, 97080 Würzburg, Germany
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Department of Child and Adolescent Psychiatry, University Hospital Würzburg, 97080 Würzburg, Germany
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Service Center Medical Informatics, University Hospital Würzburg, 97080 Würzburg, Germany
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Lutheran University of Applied Sciences Nürnberg, 90429 Nürnberg, Germany
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Institute of Medical Systems Biology, Ulm University, 89081 Ulm, Germany
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Department of Medical Informatics, University Medical Center Göttingen, 37075 Göttingen, Germany
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Department of Anaesthesiology, Intensive Care, Emergency and Pain Medicine, University Hospital Würzburg, 97080 Würzburg, Germany
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Department for Psychotherapy and Biopsychosocial Health, Danube University Krems, 3500 Krems, Austria
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Comprehensive Heart Failure Center, University and University Hospital Würzburg, 97080 Würzburg, Germany
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Department of Internal Medicine I, University Hospital Würzburg, 97080 Würzburg, Germany
*
Author to whom correspondence should be addressed.
Academic Editor: Paul B. Tchounwou
Int. J. Environ. Res. Public Health 2021, 18(14), 7395; https://doi.org/10.3390/ijerph18147395
Received: 7 June 2021 / Revised: 6 July 2021 / Accepted: 6 July 2021 / Published: 10 July 2021
Physical and mental well-being during the COVID-19 pandemic is typically assessed via surveys, which might make it difficult to conduct longitudinal studies and might lead to data suffering from recall bias. Ecological momentary assessment (EMA) driven smartphone apps can help alleviate such issues, allowing for in situ recordings. Implementing such an app is not trivial, necessitates strict regulatory and legal requirements, and requires short development cycles to appropriately react to abrupt changes in the pandemic. Based on an existing app framework, we developed Corona Health, an app that serves as a platform for deploying questionnaire-based studies in combination with recordings of mobile sensors. In this paper, we present the technical details of Corona Health and provide first insights into the collected data. Through collaborative efforts from experts from public health, medicine, psychology, and computer science, we released Corona Health publicly on Google Play and the Apple App Store (in July 2020) in eight languages and attracted 7290 installations so far. Currently, five studies related to physical and mental well-being are deployed and 17,241 questionnaires have been filled out. Corona Health proves to be a viable tool for conducting research related to the COVID-19 pandemic and can serve as a blueprint for future EMA-based studies. The data we collected will substantially improve our knowledge on mental and physical health states, traits and trajectories as well as its risk and protective factors over the course of the COVID-19 pandemic and its diverse prevention measures. View Full-Text
Keywords: mobile health; ecological momentary assessment; digital phenotyping; longitudinal studies; mobile crowdsensing mobile health; ecological momentary assessment; digital phenotyping; longitudinal studies; mobile crowdsensing
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MDPI and ACS Style

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, J.-S.; Eichner, F.A.; Greger, H.; Hein, G.; Heuschmann, P.; John, D.; Kestler, H.A.; 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. Int. J. Environ. Res. Public Health 2021, 18, 7395. https://doi.org/10.3390/ijerph18147395

AMA Style

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 J-S, 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. 2021; 18(14):7395. https://doi.org/10.3390/ijerph18147395

Chicago/Turabian Style

Beierle, Felix, Johannes Schobel, Carsten Vogel, Johannes Allgaier, Lena Mulansky, Fabian Haug, Julian Haug, Winfried Schlee, Marc Holfelder, Michael Stach, Marc Schickler, Harald Baumeister, Caroline Cohrdes, Jürgen Deckert, Lorenz Deserno, Johanna-Sophie Edler, Felizitas A. Eichner, Helmut Greger, Grit Hein, Peter Heuschmann, Dennis John, Hans A. Kestler, Dagmar Krefting, Berthold Langguth, Patrick Meybohm, Thomas Probst, Manfred Reichert, Marcel Romanos, Stefan Störk, Yannik Terhorst, Martin Weiß, and Rüdiger Pryss. 2021. "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 18, no. 14: 7395. https://doi.org/10.3390/ijerph18147395

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