linkage

COVID-19 trajectories among 57 million adults in England: a cohort study using electronic health records

Twitter thread summarising key results ๐Ÿ“ฃ COVID-19 trajectories among 57 million adults in England: a cohort study using electronic health records Proud to share this work with @johanhilge @SpirosDenaxas @BHFDataScience @HDR_UK + team in @LancetDigitalHhttps://t.

BHF Data Science Centre Research Showcase: Phenotyping COVID-19: Insights from linked data for 56 million individuals

Using national electronic health records for pandemic preparedness: validation of a parsimonious model for predicting excess deaths among those with COVID-19

Twitter thread by Prof Ami Banerjee summarising key results PREPRINT.Our latest research led by @mehrdad_mizani with a big @BHFDataScience @HDR_UK team. Using National Electronic Health Records for Pandemic Preparedness:Validation of a Parsimonious Model for Predicting Excess Deaths Among Those With COVID-19.

The adverse impact of COVID-19 pandemic on cardiovascular disease prevention and management in England, Scotland and Wales: A population-scale descriptive analysis of trends in medication data

๐Ÿ“Š Metrics ๐Ÿ“บ BHF Data Science Centre seminar by Prof Reecha Sofat and Dr Caroline Dale

A nationwide deep learning pipeline to predict stroke and COVID-19 death in atrial fibrillation

๐Ÿ“Š Metrics

Association of COVID-19 with arterial and venous vascular diseases: a population-wide cohort study of 48 million adults in England and Wales

๐Ÿ“Š Metrics ๐Ÿ“บ BHF Data Science Centre seminar by Dr Samantha Ip & Dr Hoda Abbasizanjani

Understanding COVID-19 trajectories from a nationwide linked electronic health record cohort of 56 million people: phenotypes, severity, waves & vaccination

โ— Now published in The Lancet Digital Health Johan H Thygesen, Christopher Tomlinson, Sam Hollings, Mehrdad Mizani, Alex Handy, Ashley Akbari, Amitava Banerjee, Jennifer Cooper, Alvina Lai, Ken Li, Bilal Mateen, Naveed Sattar, Reecha Sofat, Ana Torralbo, Honghan Wu, Angela Wood, Jonathan A C Sterne, Christina Pagel, William Whiteley, Cathie Sudlow, Harry Hemingway, Spiros Denaxas, on behalf of the CVD-COVID-UK Consortium (2022).

NIHR & BHF Data Science Centre Webinar: Data Linkage for COVID-19 Research

A joint webinar hosted by National Institute for Health Research (NIHR) and British Heart Foundation (BHF) Data Science Centre for NIHR supported COVID-19 studies, to highlight how to utilise and access routinely-collected healthcare data via NHS Digitalโ€™s Trusted Research Environment, the UKโ€™s largest linked health data research asset.

Characterising COVID-19 related events in a nationwide electronic health records cohort in England

Short presentation of our progress on defining COVID-19 event phenotypes in the NHS-Digital Trusted Research Environment as part of the CVD-COVID-UK Consortium.