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.

Researchers from the University of Oxford have today reported on findings on the vaccinated people who are at greatest risk from severe Covid-19 leading to hospitalisation or death from 14 days post the second dose vaccination, when substantial immunity should be expected.

Aerial view of people walking across a pedestrian crossing
  • New algorithm predicts those most at risk of serious Covid-19 outcomes from 14 or more days after second vaccination dose, when substantial immunity is expected to have developed
  • Authors hope this new risk tool will allow those who perceive risk to be high to make more informed decisions regarding shielding and potentially inform policy and clinical decisions on booster vaccine doses and monoclonal antibodies

In a paper published in the British Medical Journal, they write that by updating the QCovid tool developed in 2020, which directly influenced UK policy in February 2021, adding 1.5 million people in February 2021 to list of those advised to shield, they are able to identify groups more at risk of hospitalisation or death from Covid-19.

They used national linked datasets from general practice, national immunisation and SARS-CoV-2 testing, death registry and hospital episode data, in order to analyse a sample of over 6.9m vaccinated adults, of whom 5.2m had both vaccines doses, which was representative of the UK population as a whole. This sample included 2,031 Covid-19 deaths and 1,929 Covid-19 related hospital admissions, of which 81 deaths and 71 admissions occurred 14 or more days after the second vaccine dose.

Read the full story on the University of Oxford website

Similar stories

New book expands the horizons of brain research

A pioneering book from Professor Zoltán Molnár and Yale Professors Tamas Horvath and Joy Hirsch to be released on 1 February 2022 addresses the fundamental relationship between the body, brain and behaviour.

New research sheds light on how ultrasound could be used to treat psychiatric disorders

A new study in macaque monkeys has shed light on which parts of the brain support credit assignment processes (how the brain links outcomes with its decisions) and, for the first time, how low-intensity transcranial ultrasound stimulation (TUS) can modulate both brain activity and behaviours related to these decision-making and learning processes.

Dramatic fall in hospital admissions for child infections since start of Covid-19 pandemic

Since the onset of the Covid-19 pandemic, there have been dramatic reductions in hospital admissions for common and severe childhood infections in England, most likely due to social distancing measures, school and workplace closures, and travel restrictions, finds a study published by The BMJ today.

Rosalind Franklin Institute and Pharmacology announce strategic partnership in Next Generation Chemistry

The Rosalind Franklin Institute and the University of Oxford’s Department of Pharmacology have entered into a strategic partnership for Next Generation Chemistry.

Christoph Treiber awarded ERC Starting Grant to investigate the origins of behavioural diversity

Congratulations are in order for postdoctoral research scientist Dr Christoph Treiber who has been awarded a Starting Grant from the European Research Council. His funded project will investigate the genetic components that may contribute to diversity of brain function and behaviour.

New blood-based test is the first ever to simultaneously identify if a patient has cancer and if it has spread

A publication by University of Oxford researchers describes a new minimally invasive and inexpensive blood test that can identify cancer in patients with non-specific symptoms. The early success of this technology makes it the first blood-based test that not only detects cancer in this population but can simultaneously identify if a cancer has spread.