Dataset Open Access

Integrated 'durability' dataset revealing distinct trajectories of immunity after SARS-CoV-2 infection in UK Health Care Workers

Tomic, Adriana

Data collector(s)
Skelly, Donal; Ogbe, Ane
Data curator(s)
O'Connor, Daniel
Supervisor(s)
Klenerman, Paul; Barnes, Eleanor; Dunachie, Susanna; Dold, Christina

What is the durability dataset?

This is the final, standardized dataset that was used for the integrative SIMON analysis in the publication: "Divergent trajectories of antiviral memory after SARS-Cov-2 infection" describing the durability of humoral and cellular immune responses (virus-specific B and T cell responses) longitudinally over 6 months after infection in the cohort of 78 UK Health workers who presented with symptomatic infection or who tested positive during an asymptomatic screening program. The integrated dataset contains combined data from 14 immunological assays, including antibody and T and B cell assays and clinical data which were merged using a donor-specific variable (Donor ID).

How to use the durability dataset?

Here, you can download the entire durability database as a CSV file. Briefly, in the CSV file, each row represents a sample with information about the time point when samples were acquired (timepoint). For each sample, there is information about the response status (column named, Responder). The responder status is the outcome of immune response durability and it was calculated based on the titer of the anti-nucleocapsid-specific antibodies measured 6 months post symptoms onset (pso). High responders were determined as individuals who are seropositive 6 months pso, i.e., have anti-N Ab titer ≥ 1.4, while low responders are individuals that are seronegative. The clinical symptoms are expressed as binary values: 0- no clinical symptoms, and 1 - clinical symptoms observed. Sex is indicated as male (m) and female (f). Age is determined in years. For each sample, there is information about which assays were performed and the value of the measured analytes.

How to cite FluPRINT?

If you use durability dataset in an academic publication, please use the following citation: 

Tomic, A., et al. Divergent trajectories of antiviral memory after SARS-Cov-2 infection (2021).

Contact Information

If you are interested to find out more about the durability dataset, or if you experience any problems with downloading files, please contact us at info@adrianatomic.com.

Files (115.8 kB)
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HCW_durability_study_dataset.csv
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