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PANTHER study

Population Size

Not reported
Population Size statistic card

Years

2020

Years statistic card

Associated BioSamples

Serum

Associated BioSamples statistic card

Geographic coverage

United Kingdom

England

...see more

Geographic coverage statistic card

Lead time

Not applicable

Lead time statistic card

Summary

The PANTHER study aims to deepen the understanding of susceptibility to, immunity from and transmission of Sars-Cov2 (the virus that causes Covid-19) in an at risk population.

Documentation

The PANTHER (PANdemic Tracking of Healthcare woRkers) study, is hosted at University of Nottingham, Nottingham University Hospitals NHS Trust and supported by the Nottingham BRC. It aims to deepen the understanding of susceptibility to, immunity from and transmission of Sars-Cov2 (the virus that causes Covid-19) in an at risk population. The PANTHER study measures chemical substances in blood (such as cytokines) that indicate inflammation, and other molecules that fight infection. Additionally, it will study genes to understand if these contribute to the risk of becoming become sick. The PANTHER Study is supported by around 600 volunteers from both hospitals in Nottingham who have been participating in weekly blood draws since the peak of the pandemic and have at the heart of the study a unique resource of rich biological, genetic and other information kindly provided by our cohort of volunteer front line healthcare workers. The study samples are stored in the Nottingham Tissue Bank under a research licence, which is a Human Tissue Authority regulated tissue bank.

Dataset type

Health and disease

Dataset sub-type

Not applicable

Keywords

Provenance

Purpose of dataset collection

Study

Source of data extraction

Electronic survey

Collection source setting

Clinic, Primary care - Clinic, Community

Image contrast

Not stated

Biological sample availability

Serum

Structural Metadata

Details

Publishing frequency

Other

Version

1.0.0

Modified

08/10/2024

Coverage

Start date

19/04/2020

Time lag

Variable

Geographic coverage

United Kingdom, England, East Midlands, Nottingham

Minimum age range

18

Maximum age range

65

Accessibility

Language

en

Alignment with standardised data models

OMOP

Controlled vocabulary

LOCAL

Format

other/xlsx, text/csv

Data Access Request

Dataset pipeline status

Not available

Access rights

na

Time to dataset access

Not applicable

Data Controller

Benjamin.Ollivere@nottingham.ac.uk

Dataset Types: Health and disease


Collection Sources: Clinic, Primary care - Clinic, Community

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