Physical health and ecological momentary assessments during COVID-19: Data from the ‘Corona Health’ app usersZenodo
The dataset published in this work is derived from the ‘Corona Health’ app, developed in collaboration with the German Robert Koch Institute (RKI) during the early stages of the COVID-19 pandemic. The smartphone application aimed to monitor the mental and physical health of the public through real-t...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-04-01
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| Series: | Data in Brief |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352340925000216 |
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| author | Johannes Allgaier Felizitas Eichner Stefan Störk Peter Heuschmann Rüdiger Pryss |
| author_facet | Johannes Allgaier Felizitas Eichner Stefan Störk Peter Heuschmann Rüdiger Pryss |
| author_sort | Johannes Allgaier |
| collection | DOAJ |
| description | The dataset published in this work is derived from the ‘Corona Health’ app, developed in collaboration with the German Robert Koch Institute (RKI) during the early stages of the COVID-19 pandemic. The smartphone application aimed to monitor the mental and physical health of the public through real-time data collection. The dataset incorporates Ecological Momentary Assessments (EMA), Patient-reported Outcome Measures (PROMs), GPS data, and digital phenotyping from app users who consented. The data includes responses from 1805 mostly German users who completed baseline and follow-up questionnaires, capturing their physical health status over time. These questionnaires cover health-related topics, including medical history, cardiovascular risk factors, lifestyle habits, and the impact of the pandemic on health behaviors. The resulting dataset offers insights into health trajectories and behaviors during the pandemic and can be utilized for further research on physical health, user engagement, and the efficacy of EMA and digital phenotyping in health monitoring. The data is publicly available under a Creative Commons license on zenodo.org/records/11093394. |
| format | Article |
| id | doaj-art-f4e13cd8474442acbc4cea4db91e8212 |
| institution | Kabale University |
| issn | 2352-3409 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Data in Brief |
| spelling | doaj-art-f4e13cd8474442acbc4cea4db91e82122025-01-27T04:22:01ZengElsevierData in Brief2352-34092025-04-0159111289Physical health and ecological momentary assessments during COVID-19: Data from the ‘Corona Health’ app usersZenodoJohannes Allgaier0Felizitas Eichner1Stefan Störk2Peter Heuschmann3Rüdiger Pryss4Institute of Medical Data Science, University Hospital Würzburg, 97070, Germany; Institute of Clinical Epidemiology and Biometry, University of Würzburg, 97080, Germany; Corresponding author.Institute of Clinical Epidemiology and Biometry, University of Würzburg, 97080, GermanyDept. Clinical Research & Epidemiology, Comprehensive Heart Failure Center Würzburg, University Hospital Würzburg, 97078 Würzburg, GermanyInstitute of Medical Data Science, University Hospital Würzburg, 97070, Germany; Institute of Clinical Epidemiology and Biometry, University of Würzburg, 97080, Germany; Clinical Trial Center, University Hospital Würzburg, 97070, GermanyInstitute of Medical Data Science, University Hospital Würzburg, 97070, Germany; Institute of Clinical Epidemiology and Biometry, University of Würzburg, 97080, GermanyThe dataset published in this work is derived from the ‘Corona Health’ app, developed in collaboration with the German Robert Koch Institute (RKI) during the early stages of the COVID-19 pandemic. The smartphone application aimed to monitor the mental and physical health of the public through real-time data collection. The dataset incorporates Ecological Momentary Assessments (EMA), Patient-reported Outcome Measures (PROMs), GPS data, and digital phenotyping from app users who consented. The data includes responses from 1805 mostly German users who completed baseline and follow-up questionnaires, capturing their physical health status over time. These questionnaires cover health-related topics, including medical history, cardiovascular risk factors, lifestyle habits, and the impact of the pandemic on health behaviors. The resulting dataset offers insights into health trajectories and behaviors during the pandemic and can be utilized for further research on physical health, user engagement, and the efficacy of EMA and digital phenotyping in health monitoring. The data is publicly available under a Creative Commons license on zenodo.org/records/11093394.http://www.sciencedirect.com/science/article/pii/S2352340925000216Public health monitoringLongitudinal studiesBehavioral dataDigital health interventions |
| spellingShingle | Johannes Allgaier Felizitas Eichner Stefan Störk Peter Heuschmann Rüdiger Pryss Physical health and ecological momentary assessments during COVID-19: Data from the ‘Corona Health’ app usersZenodo Data in Brief Public health monitoring Longitudinal studies Behavioral data Digital health interventions |
| title | Physical health and ecological momentary assessments during COVID-19: Data from the ‘Corona Health’ app usersZenodo |
| title_full | Physical health and ecological momentary assessments during COVID-19: Data from the ‘Corona Health’ app usersZenodo |
| title_fullStr | Physical health and ecological momentary assessments during COVID-19: Data from the ‘Corona Health’ app usersZenodo |
| title_full_unstemmed | Physical health and ecological momentary assessments during COVID-19: Data from the ‘Corona Health’ app usersZenodo |
| title_short | Physical health and ecological momentary assessments during COVID-19: Data from the ‘Corona Health’ app usersZenodo |
| title_sort | physical health and ecological momentary assessments during covid 19 data from the corona health app userszenodo |
| topic | Public health monitoring Longitudinal studies Behavioral data Digital health interventions |
| url | http://www.sciencedirect.com/science/article/pii/S2352340925000216 |
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