By health condition
By demographic
Each summary is provided by the external research team. The views expressed may not reflect those of the NIHR BioResource.
We’ve also created a few study collections:
Studies 1-9 of 14
Evaluating the performance and bias of Electronic Health Record transformers for predicting cardiovascular outcomes following COVID-19
Speciality areaCOVID
Study typeData only
Researcher typeAcademic
Research leadCharlotte James
The Risk Prediction on Winter Respiratory Diseases and the Burden on Healthcare Systems: Pre and Since COVID-19 Pandemic
Research lead Ting Shi
The role of sociodemographic factors in attendance at cancer and cardiovascular disease screening and in emergency cancer diagnosis before, during and after the COVID-19 pandemic in people with severe or complex mental illness
Speciality areaCOVID, Mental Health
Research leadNaomi Launders
Community mental health treatment and subsequent outcomes in children and young people: what works, for whom, and why?
Research leadDr. Sharon Neufeld
Quality checks, curation and methodological enhancement of the UK LLC Partner Studies using linked data
Speciality areaCOVID, Public Health and Prevention, Infection
Research leadJulie von Ziegenweidt
UK LLC - COVID-19: Understanding the impacts of healthcare discruption on health
Speciality areaInfection, Public Health and Prevention, Health Services Research, COVID
Research leadMark Green
UK LLC COVID-19: Risk factors and prediction models for long COVID: analysis of longitudinal cohort studies with linked NHS data
Speciality areaInfection, Public Health and Prevention, COVID
Research leadYinghui Wei
UK LLC - COVID-19: Methodological enhancement and documentary analysis of the UKLLC
Research leadAndy Boyd
UK LLC - COVID-19: Comparing the burden of long COVID in the community as measured by self-report and electronic health records: a study by the CONVALESCENCE consortium
Research leadDylan Williams
