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Version: 1.0.0 | Published: 8 Oct 2024 | Updated: 226 days ago

Lighthouse

Dataset

Documentation

Description:
ECOSS is a database that holds surveillance data on various microorganisms (e.g. influenza virus, coronavirus) and infections reported from NHS diagnostic and reference laboratories and Pillar 2 facilities/Lighthouse laboratories [high-throughput facilities dedicated to COVID-19 viral Reverse Transcription-Polymerase Chain Reaction (RT-PCR) testing for the National Testing Programme]. Data on laboratory results for all SARS-CoV-2 RT-PCR tests carried out in Scotland are being collated by ECOSS and can be linked to other data sources

Coverage

Spatial:
United Kingdom,Scotland
Typical Age Range:
0-150
Follow Up:
Unknown
Pathway:
Secondary care records for Tayside and Fife

Provenance

Origin

Purposes:
Disease registry
Sources:
Other
Collection Situations:
Other

Temporal

Accrual Periodicity:
Static
Distribution Release Date:
19 May 2022
Start Date:
18 January 2019
End Date:
10 September 2021
Time Lag:
Not applicable

Accessibility

Access

Access Service:
HIC has implemented a remote-access Trusted Research Environment to protect data confidentiality, satisfy public concerns about data loss and reassure Data Controllers about HIC’s secure management and processing of their data. Data is not released externally to data users for analysis on their own computers but placed on a server at HIC, within a restricted, secure IT environment, where the data user is given secure remote access to carry out their analysis. Full details are available via the following link: https://www.dundee.ac.uk/hic/safe-haven
Access Request Cost:
Quotation available on request
Delivery Lead Time:
Not applicable
Jurisdictions:
GB-SCT
Data Controller:
Local NHS boards
Data Processor:
University of Dundee, Health Informatics Centre

Usage

Data Use Limitations:
General research use
Data Use Requirements:
Disclosure control
Resource Creators:
NHS Scotland

Format and Standards

Vocabulary Encoding Schemes:
LOCAL
Languages:
en
Formats:
Database

Observations

Statistical Population
Population Description
Population Size
Measured Property
Observation Date
Events
112,229 events in this dataset
112229
count
19 May 2022
Persons
11,008 persons in this dataset
110088
COUNT
19 May 2022