Longitudinal mental health data collected via the Corona Health smartphone app during COVID-19

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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Publication Details

Journal
Scientific Data
Published
2026-03-11
DOI
https://doi.org/10.1038/s41597-026-07015-7
Primary Topic
Digital Mental Health Interventions
Type
article
Field-Weighted Citation Impact
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article

Longitudinal mental health data collected via the Corona Health smartphone app during COVID-19

Miriam Schlüter, Johannes Schobel, Peter U. Heuschmann, Carsten Vogel et al.
Scientific Data
Digital Mental Health Interventions
article

Longitudinal mental health data collected via the Corona Health smartphone app during COVID-19

Miriam Schlüter, Johannes Schobel, Peter U. Heuschmann, Carsten Vogel, Berthold Langguth, Winfried Schlee, R. Pryss, Yannik Terhorst, Caroline Cohrdes, Michael Winter, Harald Baumeister
article en

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.

Scientific DataVol. 13(1)
University of Augsburg (DE), Universität Ulm (DE), Robert Koch Institute (DE), University of Würzburg (DE), LMU Klinikum (DE), German Center for Infection Research (DE), Neu-Ulm University of Applied Sciences (DE), Universitätsklinikum Würzburg (DE), German Centre for Cardiovascular Research (DE), OST - Ostschweizer Fachhochschule (CH), University of Applied Sciences St. Gallen (CH), University of Regensburg (DE), Ludwig-Maximilians-Universität München (DE)
Good health and well-being
Openalex Percentile: Top 34%
Digital Mental Health Interventions
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