Bookmarks

TRACK-COVID

Population Size

Not reported
Population Size statistic card

Years

1970

Years statistic card

Associated BioSamples

None/not available

Associated BioSamples statistic card

Geographic coverage

United Kingdom

England

Geographic coverage statistic card

Lead time

Not applicable

Lead time statistic card

Summary

SARS-CoV-2 virus stimulates a rapid antibody response in people with symptomatic and asymptomatic infection. Seroprevalence of SARS-CoV-2 antibodies in a population can serve as a useful measure of exposure and spread.

Documentation

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus stimulates a rapid antibody response in people with symptomatic and asymptomatic infection. Seroprevalence of SARS-CoV-2 antibodies in a population can serve as a useful measure of exposure and spread.To help plan key aspects of the public health response (e.g., shielding; eventual vaccination implementation strategies), decision-makers need regularly updated data on the evolution of SARS-CoV-2 infection (and potential immunity) in the community. The rationale is that serial longitudinal seroepidemiological surveys can help to quantify and monitor the proportion of the population that has antibodies against SARS-CoV-2, providing information on the proportion of the population exposed and the cumulative incidence of infection in the population. Hence, there is a strategic need for data from serial sero-survey studies of SARS-CoV-2 in UK.

To provide scientists and national decision-makers with detailed information to help control and understand the novel coronavirus pandemic (“COVID-19”), this study aims to track up to 90,000 individuals across England during the coming the year or so. Individuals who participated in the INTERVAL, COMPARE or STRIDES BioResource studies will be invited to take part.

The TRACK-COVID study is being conducted by researchers at the University of Cambridge to investigate why some people have symptoms of the new coronavirus (SARS-CoV-2 virus) and others don’t will help to determine the extent of infection in the general population as well as it will help to design new ways to prevent and treat such infections.

The aim of this research is to determine risk factors for infection of the novel coronavirus (COVID-19). The secondary aim to investigate why some people who carry the virus are symptomatic while others never are.

The research will provide a better understanding of the biological and environmental determinants of COVID-19 virus.

Dataset type

Health and disease

Dataset sub-type

Not applicable

Keywords

Provenance

Purpose of dataset collection

Study

Image contrast

Not stated

Biological sample availability

None/not available

Structural Metadata

Details

Publishing frequency

Other

Version

1.0.0

Modified

08/10/2024

Coverage

Start date

01/01/1970

Time lag

Variable

Geographic coverage

United Kingdom, England

Minimum age range

18

Maximum age range

100

Follow-up

1 - 10 Years

Accessibility

Language

en

Controlled vocabulary

LOCAL

Format

.csv

Data Access Request

Dataset pipeline status

Not available

Access rights

In Progress

Time to dataset access

Not applicable

Access method category

TRE/SDE

Data Controller

University of Cambridge

Dataset Types: Health and disease


Collection Sources:

end of page