- Disease: Post-COVID-19
- Study type: Observational Cohort Study, Natural History
- Study type descriptors: Multicentre, Prospective
- Objective: To complement the SENSING-AI cohort with biometric and psychometric data prospectively gathered from patients diagnosed with long COVID in the last year to drive the generation of AI-based risk prediction and stratification models
- Number of participants enrolled: 10
- Study enrolling from to
- Study includes follow-up for 1 month
Study Data
- Adults
- General population
- Elderly
- Primary care
- SARS-CoV-2
- Post-COVID-19
External Links
Other information
If you would like to contact the Principal Investigator of the study please email: ccb@ateneo.univr.it
The data is updated up to