Study Detail

Characterisation of COVID-19 long-term immune response

Characterisation of COVID-19 long-term immune response

Status: Closed

Type: Observational

Funder: Medical Research Council

Sponsor: University of Bristol

CI: Professor Nicholas Timpson

IRAS-Number: 289646

CPMS-ID: 47414

Approval Date: 01 October 2020

Summary:

This study is seeking to measure the immune response to SARS-CoV-2 infection (COVID-19) and how this changes over time following a previous infection. Sequential observations and clinical samples will be taken from individuals who have had SARS-CoV-2 infection (not current) as determined by positive antibody response, regardless of disease severity. Individuals who have not had infection with SARS-CoV-2 will be recruited as controls, and these participants will undergo the same sequential observations and clinical sampling procedures. The duration of immunity is critical to make informed decisions regarding the easing of public health control measures. For example, if immunity to COVID-19 is short-lived, there may therefore be increasing number of cases over the winter, which would help inform key decisions to refine and adapt the UK's public health control measures and ensure their feasibility for a prolonged period. In addition, we will generate data that is relevant to the development and implementation of vaccine programs. Other population-based research studies in the UK are also asking their participants to complete the same sequential testing. Analysing the information from The Avon Longitudinal Study of Parents and Children (ALSPAC) alongside these other studies will allow a greater understanding of variations across ethnicity, age, socio-economic status and geography. (Please note ALSPAC is known to the study participants as Children of the 90s. The protocol and this form use ALSPAC throughout however participant facing documentation uses Children of the 90s.) We can use these results in several ways alongside information already collected in ALSPAC. Such as information on COVID-19 symptoms, (already collected via questionnaires) medical outcomes, (through record linkage), and data from other clinics and questionnaire that could be related.

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