Impact of COVID-19 vaccination on preventing long COVID: a population-based cohort study using linked NHS data
- Funded by Department of Health and Social Care / National Institute for Health and Care Research (DHSC-NIHR)
- Total publications:2 publications
Grant number: COV-LT2-0006
Grant search
Key facts
Disease
COVID-19Start & end year
20212023Known Financial Commitments (USD)
$326,361Funder
Department of Health and Social Care / National Institute for Health and Care Research (DHSC-NIHR)Principal Investigator
N/A
Research Location
United KingdomLead Research Institution
University of OxfordResearch Priority Alignment
N/A
Research Category
Clinical characterisation and management
Research Subcategory
Post acute and long term health consequences
Special Interest Tags
N/A
Study Type
Non-Clinical
Clinical Trial Details
N/A
Broad Policy Alignment
Pending
Age Group
Adults (18 and older)
Vulnerable Population
Unspecified
Occupations of Interest
Unspecified
Abstract
Background: While many people fully recover after COVID-19, a substantial proportion continues to suffer from long-term complications such as persistent tiredness, chronic pain or breathing difficulties. Current vaccines prevent severe infections leading to hospitalisations or death, but we do not know yet if they also prevent long-term COVID complications. Aim: Our study will evaluate whether covid vaccination can prevent long COVID. We will first compare the risk for long COVID in adults who received their first dose of a covid vaccine vs. unvaccinated adults. Subsequently, we will compare different covid vaccines to determine whether they can prevent long COVID equally well. Method: We define "long COVID" as diagnosis or positive test for COVID-19, which is followed by persistent symptoms that last for >4 weeks. We will use de-identified primary care records to select adults eligible for covid vaccination between January and July 2021 based on UK Government vaccination priority groups. Part 1): For different stages of the vaccine roll-out, we select all adults who were vaccinated in that period. Subsequently, we will find people who were unvaccinated the same time. Since adults who have been vaccinated may have different characteristics and health conditions compared to unvaccinated adults, we will use advanced statistical methods to balance these differences. We will then compare risk for long COVID between vaccinated and unvaccinated adults. Part 2): We will compare risk for long COVID between adults from similar priority groups for covid vaccination, who received different covid vaccines. We will again apply advanced statistical methods to balance differences in patient characteristics for the groups. PPI: A patient suffering from long COVID contributed to the development of the project plan and is a co-applicant for the project. Dissemination: We will share findings with scientists (conferences, manuscripts), NHS, the public and lay audiences.
Publicationslinked via Europe PMC
Last Updated:41 minutes ago
View all publications at Europe PMC