Literature DB >> 34299846

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

Felix Beierle1, Johannes Schobel2, Carsten Vogel1, Johannes Allgaier1, Lena Mulansky1, Fabian Haug3, Julian Haug1, Winfried Schlee4, Marc Holfelder5, Michael Stach3, Marc Schickler3, Harald Baumeister6, Caroline Cohrdes7, Jürgen Deckert8, Lorenz Deserno9, Johanna-Sophie Edler7, Felizitas A Eichner1, Helmut Greger10, Grit Hein8, Peter Heuschmann1, Dennis John11, Hans A Kestler12, Dagmar Krefting13, Berthold Langguth4, Patrick Meybohm14, Thomas Probst15, Manfred Reichert3, Marcel Romanos9, Stefan Störk16,17, Yannik Terhorst6, Martin Weiß8, Rüdiger Pryss1.   

Abstract

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.

Entities:  

Keywords:  digital phenotyping; ecological momentary assessment; longitudinal studies; mobile crowdsensing; mobile health

Year:  2021        PMID: 34299846     DOI: 10.3390/ijerph18147395

Source DB:  PubMed          Journal:  Int J Environ Res Public Health        ISSN: 1660-4601            Impact factor:   3.390


  4 in total

1.  Adult quality of life patterns and trajectories during the COVID-19 pandemic in Germany.

Authors:  Caroline Cohrdes; Britta Wetzel; Rüdiger Pryss; Harald Baumeister; Kristin Göbel
Journal:  Curr Psychol       Date:  2022-09-30

2.  Apps for Covid-19 in Germany: assessment using the German Mobile App Rating Scale.

Authors:  Felix Holl; Fabian Flemisch; Walter Swoboda; Johannes Schobel
Journal:  JAMIA Open       Date:  2022-09-26

3.  Enhancing mHealth data collection applications with sensing capabilities.

Authors:  Maximilian Karthan; Robin Martin; Felix Holl; Walter Swoboda; Hans A Kestler; Rüdiger Pryss; Johannes Schobel
Journal:  Front Public Health       Date:  2022-09-15

4.  Task and Ego Orientation in Sport Questionnaire (TEOSQ): Psychometric Properties in Its Digital Version.

Authors:  Verónica Morales-Sánchez; Nuria Pérez-Romero; María Auxiliadora Franquelo; Isabel Balaguer; Antonio Hernández-Mendo; Rafael E Reigal
Journal:  Int J Environ Res Public Health       Date:  2022-03-10       Impact factor: 3.390

  4 in total

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