Corona Health

Corona Health enables longitudinal ecological momentary assessment (EMA) using smartphone-delivered questionnaires and mobile sensor data to study mental and physical well-being during the COVID-19 pandemic.

Key Features:

• Integrated questionnaire and sensor studies: Collects self-reported questionnaire responses synchronized with smartphone-based mobile sensor data for in situ measurement of states and behaviors.
• Ecological momentary assessment (EMA): Implements EMA-driven, real-time recordings to capture dynamic changes and reduce recall bias in longitudinal studies.
• Mobile sensor integration: Incorporates passive smartphone sensor signals alongside active assessments to augment phenotyping of physical and mental health.
• Multilingual accessibility: Initially released in eight languages to support research across diverse populations.
• Multi-study support: Supports deployment of multiple concurrent studies (five active studies reported at time of publication).

Scientific Applications:

• Public health and epidemiology: Characterizes health states, traits, trajectories, and associated risk and protective factors during the COVID-19 pandemic.
• Mental health research: Enables real-time assessment of psychological states and symptom dynamics to inform longitudinal mental health studies.
• Behavioral and clinical research: Facilitates longitudinal monitoring of physical health and symptom trajectories using combined self-report and sensor data.
• Mobile sensing and computational research: Provides data for methods development in smartphone-based sensing, phenotyping, and EMA analytics.

Methodology:

Implements ecological momentary assessment (EMA) via smartphone-delivered in situ questionnaires combined with mobile sensor data to enable continuous longitudinal data collection and mitigate recall bias.