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INTRODUCTION: Electronic health records can be used to understand the diverse presentation of post-acute and long-term health outcomes following COVID-19 infection. In England, the UK Health Security Agency, in collaboration with the University of Oxford, has created the Evaluation of post-acute COVID-19 Health Outcomes (ECHOES) dataset to monitor how an initial SARS-CoV-2 infection episode is associated with changes in the risk of health outcomes that are recorded in routinely collected health data. METHODS: The ECHOES dataset is a national-level dataset combining national-level surveillance, administrative, and healthcare data. Entity resolution and data linkage methods are used to create a cohort of individuals who have tested positive and negative for SARS-CoV-2 in England throughout the COVID-19 pandemic, alongside information on a range of health outcomes, including diagnosed clinical conditions, mortality, and risk factor information. RESULTS: The dataset contains comprehensive COVID-19 testing data and demographic, socio-economic, and health-related information for 44 million individuals who tested for SARS-CoV-2 between March 2020 and April 2022, representing 15,720,286 individuals who tested positive and 42,351,016 individuals who tested negative. DISCUSSION: With the application of epidemiological and statistical methods, this dataset allows a range of clinical outcomes to be investigated, including pre-specified health conditions and mortality. Furthermore, understanding potential determinants of health outcomes can be gained, including pre-existing health conditions, acute disease characteristics, SARS-CoV-2 vaccination status, and genomic variants.

Original publication

DOI

10.3389/fpubh.2025.1513508

Type

Journal article

Journal

Front public health

Publication Date

2025

Volume

13

Keywords

COVID-19, data linkage, electronic health data, health outcomes, post-acute COVID-19, Humans, COVID-19, England, Male, Adult, Female, Middle Aged, SARS-CoV-2, Aged, Adolescent, Electronic Health Records, Child, Young Adult, Child, Preschool, Risk Factors, Infant, Post-Acute COVID-19 Syndrome, Aged, 80 and over