COVID-19 Symptom Tracker Dataset (CVST)
Dataset
Summary
Citation:
CITATION INCOMPLETE
Documentation
Associated Media:
Description:
The COVID Symptom Tracker (https://covid.joinzoe.com/) mobile application was designed by doctors and scientists at King's College London, Guys and St Thomas’ Hospitals working in partnership with ZOE Global Ltd – a health science company.
This research is led by Dr Tim Spector, professor of genetic epidemiology at King’s College London and director of TwinsUK a scientific study of 15,000 identical and non-identical twins, which has been running for nearly three decades.
The dataset schema includes:
Demographic Information (Year of Birth, Gender, Height, Weight, Postcode)
Health Screening Questions (Activity, Heart Disease, Diabetes, Lung Disease, Smoking Status, Kidney Disease, Chemotherapy, Immunosuppressants, Corticosteroids, Blood Pressure Medications, Previous COVID, COVID Symptoms, Needs Help, Housebound Problems, Help Availability, Mobility Aid)
COVID Testing Conducted
How You Feel?
Symptom Description
Location Information (Home, Hospital, Back From Hospital)
Treatment Received
The data is hosted within the SAIL Databank, a trusted research environment facilitating remote access to health, social care, and administrative data for various national organisations.
The process for requesting access to the data is dependent on your use case. SAIL is currently expediting all requests that feed directly into the response to the COVID-19 national emergency, and therefore requests from NHS or Government institutions, or organisations working alongside such care providers and policymakers to feed intelligence directly back into the national response, are being expedited with a ~48-hour governance turnaround for such applications once made. Please make enquiries using the link at the bottom of the page which will go the SAIL Databank team, or to Chris Orton at c.orton@swansea.ac.uk
SAIL is welcoming requests from other organisations and for longer-term academic study on the dataset, but please note if this is not directly relevant to the emergency research being carried out which directly interfaces with national responding agencies, there may be an access delay whilst priority use cases are serviced.
Coverage
Spatial:
United Kingdom,Wales
Typical Age Range:
15-150
Follow Up:
0 - 6 MONTHS
Pathway:
Covid-19
Provenance
Origin
Purposes:
DISEASE REGISTRY
Sources:
OTHER
Collection Situations:
HOME
Temporal
Accrual Periodicity:
WEEKLY
Start Date:
21 March 2020
End Date:
19 September 2021
Time Lag:
NO TIMELAG
Accessibility
Access
Access Service:
The SAIL Databank is powered by the UK Secure e-Research Platform (UKSeRP).
Following approval through safeguard processes, access to project-specific data
within the secure environment is permitted using two-factor authentication
Access Request Cost:
Data provision is free from SAIL. Overall project costing depends on the number
of people that require access to the SAIL Gateway, the activities that SAIL
needs to complete (e.g. loading non-standard datasets), data refreshes,
analytical work required, disclosure control process, and special case
technological requirements.
Jurisdictions:
GB-GBN
Data Controller:
Zoe Global Ltd (https://joinzoe.com/)
Data Processor:
SAIL Databank
Usage
Data Use Limitations:
GENERAL RESEARCH USE
Resource Creators:
The COVID symptom tracker was created by doctors and scientists at King's College London, Guys and St Thomas’ Hospitals working in partnership with ZOE Global Ltd – a health science company.
Format and Standards
Vocabulary Encoding Schemes:
LOCAL
Conforms To:
LOCAL
Languages:
en
Formats:
CSV Tables
Enrichment and Linkage
Observations
Statistical Population
Population Description
Population Size
Measured Property
Observation Date
EVENTS
Approx 70-80% coverage of Welsh population through GP registrations.
3000000
Count
01 September 2021