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.

Understanding the timing of transmission dynamics of Covid-19 is crucial for optimising public health interventions and reducing the burden on communities.

Man wearing a face mask on public transport

Knowledge of the period of high infectiousness is particularly useful in the context of contact tracing as it allows to identify the contacts at highest risk of having contracted the disease, maximising the number of infectious individuals in quarantine while minimising the number of people unnecessarily isolated. The preprint paper 'The timing of Covid-19 transmission', published in MedRxiv, is centered around the question “When is someone who has been infected with COVID-19 most likely to infect others?”.

The analysis focuses on individuals who eventually develop symptoms, studying 191 transmission pairs from multiple data sets. Each transmission pair includes an index case and a secondary case, infected by the index case. Datasets were selected because they contained information not only about the dates of onset of symptoms for both cases, but also intervals of exposure for the index and/or secondary case. For these pairs and individuals, four key timings related to Covid-19 transmission were known or inferred.

Read more about the key findings in a blog on the Coronavirus Fraser Group website. There is also in a media update on the Big Data Institute website

Similar stories

NHS garden in full bloom at RHS Chelsea Flower Show

The sun was shining for the RHS Chelsea Flower show press day earlier this week. One garden in particular bloomed particularly brightly, with the 'Finding Our Way: An NHS Tribute Garden' getting plenty of attention.

University of Oxford launches Podium Analytics Institute for Youth Sports Medicine and Technology

Oxford University has been selected as the home of the new Podium Analytics Institute for Youth Sports Medicine and Technology. This will be the world’s first academic Institute focused on young athletes’ safety and lifelong health and will combine Oxford’s longstanding tradition in sports and education with the very best of science, medicine, and technology.

QCovid highly commended for ‘best use of technology in Patient Safety’ at the 2021 HSJ Patient Safety Awards

Professor Julia Hippisley-Cox and her team in Nuffield Department of Primary Care Health Sciences have been Highly Commended in the ‘Best use of technology in Patient Safety’ category for the QCovid risk calculator at this year’s Health Service Journal Patient Safety Awards.

New guidelines to improve reporting standards of studies that investigate causal mechanisms

Researchers in the Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS) have developed a new set of guidelines for reporting mediation analyses in health research.

Prestigious award for Oxford professor's diabetes work

A University of Oxford professor has been awarded the 2021 EASD-Novo Nordisk Foundation Prize for Excellence for his decades of effort to understand, prevent and combat type 1 diabetes.