Project Details
Layman's description
Mathematical simulation models have become indispensable tools
for forecasting and studying the effectiveness of intervention
strategies such as lockdowns and screening during the SARS-CoV-2
pandemic. Estimation of key modeling quantities uses the
serological footprint of an infection on the host. However, although
depending on the type of assay, SARS-CoV-2 antibody titers were
frequently not found in young and/or asymptomatic individuals and
were shown to wane after a relatively short period, especially in
asymptomatic individuals. In contrast, T-cells have been found in
different situations – also without antibodies being present - ranging
from convalescent asymptomatic to mild SARS-CoV-2 patients and
their household members, thereby indicating that T-cells offer more
sensitivity to detect past exposure to SARS-CoV-2 than the detection
of antibodies can.
In this project, we will gather on a population level T-cell and
antibody SARS-CoV-2 specific data from different well-described
cohorts including 300 individuals (and 200 household members) who
have had proven covid-19 infection > 3 months earlier, 100 general
practitioners, 100 hospital workers, 500 randomly selected
individuals and 75 pre-covid-era PBMC/sera.
This data will be used in comparative simulation models and will lead
to a reassessment of several key epidemiological estimates such as
herd immunity and the reproduction number R that will significantly
inform covid-19 related public health interventions.
Status | Finished |
---|---|
Effective start/end date | 1/11/20 → 31/10/23 |
Funding
- Research Fund - Flanders: €12,750.00
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