Completed Infection & Immunity Public Health & Healthcare

Virus Watch: Understanding community incidence, symptom profiles, and transmission of COVID-19 in relation to population movement and behaviour.

In plain English

AI plain-English summary

A large community study will track thousands of people online and test them for COVID-19 to measure how the virus actually spreads through the UK population, not just among those sick enough to visit a doctor. Most outbreak data comes from hospitals, which misses the majority of infections—people with mild symptoms or no symptoms at all. Without knowing how many are truly infected, how ill they get, and how often they pass the virus to household members, planners cannot accurately predict hospital demand or tailor public health advice. The study also tracks hand washing, coughing behaviour, and whether people voluntarily restrict their movements, filling a gap in understanding how the population actually responds to an unfolding pandemic. If successful, the results will give health service planners and public health officials real-world numbers on infection rates, symptom profiles, transmission risks, and care-seeking behaviour. This directly informs decisions on when to impose or lift movement restrictions, how to target testing, and how to communicate with the public. The data is shared with participants, the NHS, and the public in near real-time, making it an operational tool for managing the outbreak rather than just a scientific exercise.

View original technical description
The novel strain of Coronavirus (COVID-19) has caused large numbers of deaths and severe societal disruption in China and is predicted to become a global pandemic. To prepare and respond we need to know how many people become infected, how many of them become ill, what their symptoms are, how many seek health care, how commonly they transmit to household contacts, what proportion need hospitalisation and what proportion die. We need to understand how the population responds e.g. hand washing, behaviours during and after coughing, sneezing or nose wiping, and whether people restrict their movements and social contacts. Since many of those infected will have relatively mild symptoms and not seek medical advice the only way to accurately obtain this information is to conduct large scale community studies. We will follow up members of the public and contacts of cases using regular online surveys of symptoms and behaviours, secure tracking of participant movements, and testing for COVID-19 and other respiratory infections to build a detailed picture of how the virus spreads and the population responds. We will share this data with participants, health service and public health planners and the general public to help minimise the impact of the virus.

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Researchers

Andrew Hayward (Principal Investigator)

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Original classification

Intramural

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