Become a Citizen Scientist
Join the fight against coronavirus
Coronavirus (COVID-19)
Get the latest NHS information and advice about coronavirus (COVID-19), a new illness that affects your lungs and airways.
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1st August 2020
GenOMICC COVID-19 study
this is a very indepth Citizen Science Project
Some people become very severely ill with COVID-19 and end up in hospital, but most people only experience mild illness.
Genomics England is working in partnership with the GenOMICC consortium, led by the
University of Edinburgh, to analyse the whole genome sequences of approximately 20,000 people who have been severely affected by COVID-19.
By severely affected, we mean bad enough to require admission to intensive care.
We need to compare these genomes with 15,000 other genomes, from people who were
only mildly affected – not requiring hospitalisation – or had no symptoms at all.
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So, they are currently looking for two types of volunteer to take part in the study:
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If you have tested positive for COVID-19, but did not need to be hospitalised for their symptoms
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If you have tested positive for COVID-19, had severe symptoms and were in intensive care
For more information listen to the BBC Radio 4 Today Program - 1/8/20
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Today presenter Mishal Husain is talking to Sir Mark Caulfield, Chef Scientist for Genomics England, about the GenOMICC COVID-19 study.
Listen below for the interview and/or follow the links to the BBC to listen to the whole program:
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I want to help. What do you need from me?
You can help if you:
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live in the UK
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are over the age of 18
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have tested positive for COVID-19 either via a viral swab test or a blood test for antibodies
Using the details you give on the form, they will check if you are eligible and then they may invite you to take part in the study.
If they do, they will need to collect a 9ml sample of your blood, equivalent to about 2 teaspoons.
Created by
Researchers at King’s College London, Massachusetts General Hospital and health science company ZOE have developed an artificial intelligence diagnostic that can predict whether someone is likely to have COVID-19 based on their symptoms. Their findings are published today in Nature Medicine.
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The AI model uses data from the COVID Symptom Study app to predict COVID-19 infection, by comparing people’s symptoms and the results of traditional COVID tests. Researchers say this may provide help for populations where access to testing is limited. Two clinical trials in the UK and the US are due to start shortly.
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To find out more please visit these websites:
11 May 2020
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New AI diagnostic can predict COVID-19 without testing
co-developed by King's College London, Massachusetts General Hospital + ZOE a health science company
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This is the 2nd part of the study
to see the 1st part of the study please see below
Our results suggest that loss of taste or smell is a key early warning sign of COVID-19 infection and should be included in routine screening for the disease.
We strongly urge governments and health authorities everywhere to make this information more widely known, and advise anyone experiencing sudden loss of smell or taste to assume that they are infected and follow local self-isolation guidelines.
– Professor Tim Spector, King's College London
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24 March 2020
COVID Symptom Study co-produced by
King's College London + ZOE a health science company
