Recording and analysing data on the neurological consequences of Long Covid using a web app
Martina Caputo
Recording and analysing data on the neurological consequences of Long Covid using a web app.
Rel. Gabriella Olmo, Vito De Feo. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Informatica (Computer Engineering), 2023
|
Preview |
PDF (Tesi_di_laurea)
- Tesi
Licenza: Creative Commons Attribution Non-commercial No Derivatives. Download (3MB) | Preview |
Abstract
Long COVID is a clinical syndrome characterised by the presence of certain symptoms related to SARS-CoV-2 infection, which occur or persist for weeks or months after recovery from the acute infection. The clinical picture may vary from patient to patient and the symptoms experienced are not always immediately traced back to the previous infection. This study deals with the measurement, management and analysis of data on neurological consequences in individuals with long COVID, within the 'Happy Again' study (https://www.essex.ac.uk/research-projects/happy-again), a project developed by the University of Essex. Within the 'Happy Again' platform (https://happyagain.essex.ac.uk/), participants can take part in a series of cognitive assessments.
These assessments take place using questionnaires and a battery of sensory and cognitive tests, all designed to record behavioural markers that correlate with possible neuropsychological deficits
Tipo di pubblicazione
URI
 |
Modifica (riservato agli operatori) |
