Corona Health—A Study- and Sensor-Based Mobile App Platform Exploring Aspects of the COVID-19 Pandemic
- Introduction of the Corona Health app platform and its technical details;
- Presentation of statistics about data collected with Corona Health from 27 July 2020 to 11 May 2021.
2. Background and Related Work
3. Technical Details
3.1. User Perspective
3.2. App Architecture and Modules
3.3. Database Schema
3.4. Data Exchange
3.5. Mobile Sensing
3.6. Content Pipeline
3.7. Medical Device Regulation
4. Collected Data
- Study on Mental health for adults (18 years +): People’s health is very important to us. Hence, we would like to ask you something: How are you feeling these days? While physical illness is prominent in news and the public, we are interested in the mood and possible stress factors that influence it. Moving freely, daily work routine, eating out, visiting grandparents, or meeting friends are important ingredients for us to feel good. Consequently, we would like to learn more about how you maintain social contacts, as these are important factors related to your well-being. In order to limit the effort for you as much as possible, we would like to automatically record your social contact via your smartphone (e.g., number and duration of calls, text messages). We would also like to automatically record your location at the time of the survey (GPS signal) in order to take regional differences into account. The data as well as your answers are stored completely anonymously, to profile you as a person is not possible. This first survey is a little more extensive and takes about 20 min—the follow-up surveys are only half of the length. By taking the time and participating in this survey you are a great help!
- Study on Mental health for adolescents (12 to 17 years): This scientific study investigates the burden on adolescents worldwide aged 12–17 years during the coronavirus-pandemic. Understanding your struggles may help us physicians and scientists to develop strategies to better cope with the pandemic. Would you like to take part and help us? The first survey takes 15 min. You may then take part in weekly follow-up surveys (5 min). The study is completely anonymous. The study has been approved by an ethics committee and by a data protection official. No tracking is done by the app and only the data that you agree to will be transmitted anonymously. If you are unsure, whether you should take part, please talk to your parents about it. THANK YOU!
- Study on Physical health for adults (18 years +): Many things in our daily life have changed since the Corona crisis. This also includes more basic things such as our diet or our free time for example, how we do sports. These are factors that also have an influence on the development and course of diseases such as cardiovascular diseases. In the following questionnaire, we would thus like to learn more about how the Corona crisis affects your habits with a focus on factors that are related to the cardiovascular system. Filling in the questionnaire only takes about 15 min. All data is collected anonymously. It is therefore not possible to relate any of the collected data with an individual person. Thank you for your support!
- Study on Recognizing stress for adults (18 years and up): Recognizing stress is important for your mental and physical health. That is why we invite you to fill out a short stress questionnaire once a week. People react very differently to stress. Therefore, we are also interested in factors that influence the experience of stress such as your age, your family status, your gender, and your smartphone usage (e.g., frequency of using communication services and social networks). The smartphone usage is recorded automatically to minimize the effort for you. Likewise, your whereabouts at the time of the survey are recorded automatically (GPS signal) in order to take regional differences in the stress experience into account. The data as well as your answers are stored completely anonymously. No conclusions can be drawn about the content of your social interactions or your person. Thank you very much for your effort and time in answering the questions about your perceived stress. You are a great help!
- Study on University Medicine Network: Compass project on the acceptance of pandemic apps (18 years and older): The variety of pandemic apps, apps that have been developed, for example, in hackathons to control COVID-19, shows the great potential that many experts see in them. But for apps to be effective in the pandemic, they must be used by many people. This applies not only to the Corona warning app, but also in particular to apps for assessing individual risk, for example in the case of certain pre-existing conditions. It is therefore necessary that such apps enjoy trust among the general population and that data can be analyzed together for medical research with the consent of the users. In COMPASS, scientists from a wide range of disciplines from university hospitals are joining forces with partners from science and industry in an interdisciplinary project to jointly develop a coordination and technology platform for pandemic apps. Help us with this survey so that pandemic apps can be developed even better and with broad acceptance and transparency in the future.
- Our API can be flexibly used to manage various study types.
- Our apps can be flexibly tailored to the needs of researchers from the respective healthcare domain. Experience gained from previous projects, how such apps shall operate when applied large scale in real-life proved very valuable for the design procedure.
- Our proven and accepted content pipeline is able to flexibly add and change content between healthcare experts and computer scientists (see Section 3.6).
- We were able to find regulatory experts that are experienced in the MDR in the context of software engineering projects.
- Our general user journey of the app is accepted by participants.
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
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|beginTime||Beginning of observed period|
|endTime||End of observed period|
|collectedAt||Timestamp of observation time|
|apps||List of apps and their usage statistics (see Table 2)|
|top5Apps||Top 5 most used apps and their usage statistics (see Table 2)|
|sleepTimes||List of tuples with beginning and end timestamps of time windows in which the device was sleeping for at least one hour (no active screen)|
|screenTime||Contains two lists with daily cummulated time values. List 1: use time of all apps (screen on with app in visible foreground). List 2: time in which the screen was active (including no app being used or woken up from a notification).|
|packageName||Name of the package|
|completeUseTime||Sum of daily use time|
|completeFGServiceUseTime||Sum of ForegroundService use time (app is running without being visible on the screen)|
|dailyValues||List of containers for the following values and timestamps. One Container per day.|
|useTime||Time the app was in the foreground (visible on the screen)|
|firstUseTime||Timestamp of first visible use|
|lastUseTime||Timestamp of the last visible use|
|FGServiceUseTime||Sum of ForegroundService use time (app is running without being visible)|
|firstFGServiceUseTime||Timestamp of first ForeGroundService use|
|lastFGServiceUseTime||Timestamp of (start of) last ForeGroundService use|
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Beierle, F.; Schobel, J.; Vogel, C.; Allgaier, J.; Mulansky, L.; Haug, F.; Haug, J.; Schlee, W.; Holfelder, M.; Stach, M.; et al. 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
Beierle F, Schobel J, Vogel C, Allgaier J, Mulansky L, Haug F, Haug J, Schlee W, Holfelder M, Stach M, et al. 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/ijerph18147395Chicago/Turabian Style
Beierle, Felix, Johannes Schobel, Carsten Vogel, Johannes Allgaier, Lena Mulansky, Fabian Haug, Julian Haug, Winfried Schlee, Marc Holfelder, Michael Stach, and et al. 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