Our publications

The papers, reports and preprints listed below have been supported by the BHF Data Science Centre.

A DOI, or Digital Object Identifier, includes a series of numbers and letters to create a unique online link which is used to identify articles or papers.

GitHub is an online software platform and is used to store and track projects.

Published papers/reports and preprints

Ensuring phenotyping algorithms using national electronic health records are FAIR: Meeting the needs of the cardiometabolic research community

Background: Here we present the results of our engagement with the community to identify and explore their requirements and outline our recommendations to ensure FAIR phenotyping algorithms are available to meet the needs of the cardiometabolic research community.

Association of COVID-19 and influenza vaccinations and cardiovascular pharmacotherapy with hospitalisation and mortality in people with COVID-19 and Long COVID: 2-year follow-up of over 17 million people in England. Preprints with The Lancet.

CCU060_01: Improving characterisation, prediction and intervention for COVID- and influenza-related morbidity and mortality

Understanding covid-19 outcomes among people with intellectual disabilities in England. BMC Public Health

CCU030_01: Understanding covid-19 outcomes among people with intellectual disabilities in England

Healthcare utilisation of 282,080 individuals with long COVID over two years: a multiple matched control cohort analysis. Preprints with The Lancet

CCU049_01: Healthcare utilisation in individuals with Long Covid

A nationwide study of 331 rare diseases among 58 million individuals: prevalence, demographics, and COVID-19 outcomes. medRxiv

CCU019_01: Identification and personalised risk prediction for severe COVID-19 in patients with rare disorders impacting cardiovascular health

e-Consent in UK academic-led clinical trials: current practice, challenges and the need for more evidence. BioMed Central

Background: During the COVID-19 pandemic, in-person healthcare visits were reduced. Consequently, trial teams needed to consider implementing remote methods for conducting clinical trials, including e-Consent.

Sars-Cov-2 infection in people with Type 1 diabetes and hospital admission: an analysis of risk factors for England. Diabetes Therapy

CCU040_01: Investigating why some people with diabetes have a greater risk of becoming seriously unwell or dying with COVID-19

Cardiovascular imaging research priorities. Openheart

Background: Two interlinked surveys were organised by the British Heart Foundation Data Science Centre, which aimed to establish national priorities for cardiovascular imaging research.