Cookies on this website
We use cookies to ensure that we give you the best experience on our website. If you click 'Continue' we'll assume that you are happy to receive all cookies and you won't see this message again. Click 'Find out more' for information on how to change your cookie settings.

A new risk model, developed by UK researchers to predict a person’s risk of being admitted to hospital and dying from Covid-19 has been published by The BMJ

Family members seeing each other through window pane © Shutterstock

A model that can calculate a person’s risk of becoming infected and then seriously ill due to COVID-19 has been shown to accurately estimate risk during the first wave of the pandemic in England, in new research led by a team from the University of Oxford.

The model, developed using routine anonymised data from more than 8 million adults in 1205 general practices across England, uses a number of factors such as a person’s age, ethnicity and existing medical conditions to predict their risk of catching COVID-19 and then dying or being admitted to hospital.

The model has the potential to provide doctors and the public with more nuanced information about risk of serious illness due to COVID-19, and to help patients and doctors reach a shared understanding of risk, within the context of individual circumstances, risk appetite and the sorts of preventative measures people can take in their daily lives.

The full story is available on the Nuffield Department of Primary Care Health Sciences website

Similar stories

Labelling proteins through the diet gives new insights into how collagen-rich tissues change as we age

A new study, published in eLife, uses advanced tissue analysis technology to show how the incorporation of new proteins changes in bone and cartilage with age.

Drug could help diabetic hearts recover after heart attack - Oxford research

Researchers at the University of Oxford have identified a drug that could ultimately help improve heart function in people with diabetes who have heart attacks.

Largest ever global study of tuberculosis identifies genetic causes of drug resistance

Using cutting-edge genomic sequencing techniques, researchers at the University of Oxford have identified almost all the genomic variation that gives people resistance to 13 of the most common tuberculosis (TB) drug treatments.

Peter Horby receives prestigious award for outstanding service to public health

The Faculty of Public Health (FPH) has awarded its prestigious Alwyn Smith Prize to Professor Sir Peter Horby (Nuffield Department of Medicine) for 2020/2021 in recognition of his outstanding service to public health as a global leader in epidemic science.

Six new Fellowships announced as part of Oxford-Bristol Myers Squibb Fellowships Programme

The Oxford - Bristol Myers Squibb (BMS) Fellowships Programme continued to demonstrate significant progress over the last year, despite the challenges associated with the global pandemic, including restricted lab access and work from home guidance. Today, we are pleased to announce six new Oxford-BMS Fellowships for 2021.

Researchers set out steps to address mental health effects of the pandemic on young people

Researchers have outlined 14 steps that schools, mental health services and policymakers can take to help children and young people whose mental health has been affected by the COVID-19 pandemic.