ArticleScientific data2026
Longitudinal mental health data collected via the Corona Health smartphone app during COVID-19.
Article in Scientific data, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- Exploring the Adoption of Mobile Health Apps Among Patients with Head and Neck Cancer After the COVID-19 Pandemic: Secondary Analysis of Cross-Sectional Survey.JMIR cancer · 2026Article
- Longitudinal mental health data collected via the Corona Health smartphone app during COVID-19.Scientific data · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
Abstract
Mental health impacts during the COVID-19 pandemic underscored the importance of real-time assessment methods to capture population-level changes (e.g., longitudinal changes in quality of life). This dataset contains questionnaire responses collected with the Corona Health app, a multilingual mHealth app available on Android and iOS platforms. The dataset includes baseline from 2,704 participants (i.e., adults aged 18 years and older, living in Germany) and 11,541 repeated ecological momentary assessment (EMA) responses, providing longitudinal mental health data throughout various phases during the pandemic period (i.e., data collected between July, 2020 and January, 2025). The questionnaires assessed domains such as quality of life, psychological well-being, coping mechanisms, and pandemic-related concerns. In addition to questionnaire responses, the dataset includes sensor data such as GPS location information and app usage statistics collected with participant consent. The described dataset enables researchers to examine mental health trajectories during and after COVID-19, analyze relationships between psychological factors and pandemic experiences, and investigate patterns in longitudinal mental health data.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.