- Disease: Post COVID-19 condition
- Study type: Observational Cohort Study, Natural History
- Study type descriptors: Prospective, Multicentre
- 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 (18-64 years)
- General population
- Elderly (≥65 years)
- Primary care
- SARS-CoV-2
- Post COVID-19 condition
- Post-acute infection syndrome
External Links
Other information
The information was provided with the aid of the study investigators
If you would like to contact the Principal Investigator of the study please email: ccb@ateneo.univr.it
The data is updated up to