Impact of COVID-19 vaccination on preventing long COVID: A population-based cohort study using linked NHS data 

Background: While vaccines have shown impressive efficacy to prevent severe COVID-19, their impact on preventing long COVID is not investigated in ongoing trials.  

Objective: To evaluate the impact of covid vaccination on the prevention of long COVID using UK primary care data.

Study Part 1A: Characterising Long COVID

• Analytics use case(s): Characterization
• Study type: Clinical Application
• Tags: OHDSI
• Study lead: Prof. Daniel Prieto-Alhambra, Dr. Annika Jödicke, Kristin Kostka
• Study lead forums tag: daniel_prieto, annika_joedicke, krfeeney
• Study start date: 1st October 2021
• Study end date: 30th October 2023
• Protocol: CPRD #21_000557
• Publications: Kostka, K., Roel, E., Trinh, N.T.H. et al. The burden of post-acute COVID-19 symptoms in a multinational network cohort analysis. Nat Commun 14, 7449 (2023). https://doi.org/10.1038/s41467-023-42726-0
• Results explorer: Long COVID Cohort Diagnostics App (Decommissioned but available to be turned on by request.)

Instructions

KK: Under Iterative Versions, there is a single R file (longCOVID-CD-11MAY2022.R) that contains the CohortDiagnostics run. The current code runs using a public WebAPI and is dependent on OHDSI libraries CohortDiagnostics (using Release v2.2.4) and DatabaseConnector (using Release v5.0.2).

Following this input, ER/MC created the full study package that led to the Nature Communications work.