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Corona Health—A Study- and Sensor-Based Mobile App Platform Exploring Aspects of the COVID-19 Pandemic
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,...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8303497/ https://www.ncbi.nlm.nih.gov/pubmed/34299846 http://dx.doi.org/10.3390/ijerph18147395 |
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author | Beierle, Felix Schobel, Johannes Vogel, Carsten Allgaier, Johannes Mulansky, Lena Haug, Fabian Haug, Julian Schlee, Winfried Holfelder, Marc Stach, Michael Schickler, Marc Baumeister, Harald Cohrdes, Caroline Deckert, Jürgen Deserno, Lorenz Edler, Johanna-Sophie Eichner, Felizitas A. Greger, Helmut Hein, Grit Heuschmann, Peter John, Dennis Kestler, Hans A. Krefting, Dagmar Langguth, Berthold Meybohm, Patrick Probst, Thomas Reichert, Manfred Romanos, Marcel Störk, Stefan Terhorst, Yannik Weiß, Martin Pryss, Rüdiger |
author_facet | Beierle, Felix Schobel, Johannes Vogel, Carsten Allgaier, Johannes Mulansky, Lena Haug, Fabian Haug, Julian Schlee, Winfried Holfelder, Marc Stach, Michael Schickler, Marc Baumeister, Harald Cohrdes, Caroline Deckert, Jürgen Deserno, Lorenz Edler, Johanna-Sophie Eichner, Felizitas A. Greger, Helmut Hein, Grit Heuschmann, Peter John, Dennis Kestler, Hans A. Krefting, Dagmar Langguth, Berthold Meybohm, Patrick Probst, Thomas Reichert, Manfred Romanos, Marcel Störk, Stefan Terhorst, Yannik Weiß, Martin Pryss, Rüdiger |
author_sort | Beierle, Felix |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8303497 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-83034972021-07-25 Corona Health—A Study- and Sensor-Based Mobile App Platform Exploring Aspects of the COVID-19 Pandemic Beierle, Felix Schobel, Johannes Vogel, Carsten Allgaier, Johannes Mulansky, Lena Haug, Fabian Haug, Julian Schlee, Winfried Holfelder, Marc Stach, Michael Schickler, Marc Baumeister, Harald Cohrdes, Caroline Deckert, Jürgen Deserno, Lorenz Edler, Johanna-Sophie Eichner, Felizitas A. Greger, Helmut Hein, Grit Heuschmann, Peter John, Dennis Kestler, Hans A. Krefting, Dagmar Langguth, Berthold Meybohm, Patrick Probst, Thomas Reichert, Manfred Romanos, Marcel Störk, Stefan Terhorst, Yannik Weiß, Martin Pryss, Rüdiger Int J Environ Res Public Health Article 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. MDPI 2021-07-10 /pmc/articles/PMC8303497/ /pubmed/34299846 http://dx.doi.org/10.3390/ijerph18147395 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Beierle, Felix Schobel, Johannes Vogel, Carsten Allgaier, Johannes Mulansky, Lena Haug, Fabian Haug, Julian Schlee, Winfried Holfelder, Marc Stach, Michael Schickler, Marc Baumeister, Harald Cohrdes, Caroline Deckert, Jürgen Deserno, Lorenz Edler, Johanna-Sophie Eichner, Felizitas A. Greger, Helmut Hein, Grit Heuschmann, Peter John, Dennis Kestler, Hans A. Krefting, Dagmar Langguth, Berthold Meybohm, Patrick Probst, Thomas Reichert, Manfred Romanos, Marcel Störk, Stefan Terhorst, Yannik Weiß, Martin Pryss, Rüdiger Corona Health—A Study- and Sensor-Based Mobile App Platform Exploring Aspects of the COVID-19 Pandemic |
title | Corona Health—A Study- and Sensor-Based Mobile App Platform Exploring Aspects of the COVID-19 Pandemic |
title_full | Corona Health—A Study- and Sensor-Based Mobile App Platform Exploring Aspects of the COVID-19 Pandemic |
title_fullStr | Corona Health—A Study- and Sensor-Based Mobile App Platform Exploring Aspects of the COVID-19 Pandemic |
title_full_unstemmed | Corona Health—A Study- and Sensor-Based Mobile App Platform Exploring Aspects of the COVID-19 Pandemic |
title_short | Corona Health—A Study- and Sensor-Based Mobile App Platform Exploring Aspects of the COVID-19 Pandemic |
title_sort | corona health—a study- and sensor-based mobile app platform exploring aspects of the covid-19 pandemic |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8303497/ https://www.ncbi.nlm.nih.gov/pubmed/34299846 http://dx.doi.org/10.3390/ijerph18147395 |
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