Calendar An icon of a desk calendar. Cancel An icon of a circle with a diagonal line across. Caret An icon of a block arrow pointing to the right. Email An icon of a paper envelope. Facebook An icon of the Facebook "f" mark. Google An icon of the Google "G" mark. Linked In An icon of the Linked In "in" mark. Logout An icon representing logout. Profile An icon that resembles human head and shoulders. Telephone An icon of a traditional telephone receiver. Tick An icon of a tick mark. Is Public An icon of a human eye and eyelashes. Is Not Public An icon of a human eye and eyelashes with a diagonal line through it. Pause Icon A two-lined pause icon for stopping interactions. Quote Mark A opening quote mark. Quote Mark A closing quote mark. Arrow An icon of an arrow. Folder An icon of a paper folder. Breaking An icon of an exclamation mark on a circular background. Camera An icon of a digital camera. Caret An icon of a caret arrow. Clock An icon of a clock face. Close An icon of the an X shape. Close Icon An icon used to represent where to interact to collapse or dismiss a component Comment An icon of a speech bubble. Comments An icon of a speech bubble, denoting user comments. Comments An icon of a speech bubble, denoting user comments. Ellipsis An icon of 3 horizontal dots. Envelope An icon of a paper envelope. Facebook An icon of a facebook f logo. Camera An icon of a digital camera. Home An icon of a house. Instagram An icon of the Instagram logo. LinkedIn An icon of the LinkedIn logo. Magnifying Glass An icon of a magnifying glass. Search Icon A magnifying glass icon that is used to represent the function of searching. Menu An icon of 3 horizontal lines. Hamburger Menu Icon An icon used to represent a collapsed menu. Next An icon of an arrow pointing to the right. Notice An explanation mark centred inside a circle. Previous An icon of an arrow pointing to the left. Rating An icon of a star. Tag An icon of a tag. Twitter An icon of the Twitter logo. Video Camera An icon of a video camera shape. Speech Bubble Icon A icon displaying a speech bubble WhatsApp An icon of the WhatsApp logo. Information An icon of an information logo. Plus A mathematical 'plus' symbol. Duration An icon indicating Time. Success Tick An icon of a green tick. Success Tick Timeout An icon of a greyed out success tick. Loading Spinner An icon of a loading spinner. Facebook Messenger An icon of the facebook messenger app logo. Facebook An icon of a facebook f logo. Facebook Messenger An icon of the Twitter app logo. LinkedIn An icon of the LinkedIn logo. WhatsApp Messenger An icon of the Whatsapp messenger app logo. Email An icon of an mail envelope. Copy link A decentered black square over a white square.

St Andrews University study aims to give better picture of coronavirus infection rate

Covid-19 swabs
Covid-19 swabs

Medical scientists in Fife are working with data experts to study the spread of Covid-19.

The research aims to give a better picture of the true number of people infected by the virus, by linking medical records with households’ reports of coronavirus.

Currently, how the virus spreads in communities and within households is uncertain as knowledge is based on those who receive medical care.

But a Covid-19 tracker app allows people to share information about those in their households including symptoms.

The St Andrews University medical team and data scientists from Blue Hat Associates aim to discover whether those who stay at home with the virus have different symptoms to those seek medical help or are admitted to hospital.

St Andrews University School of Medicine

The research is one of three projects awarded to the Fife university as part of the Scottish Government’s Covid-19 Rapid Research programme.

It uses data collected in the recently launched c19track.org website and outcomes will be compared for patients who recover at home and those who seek GP help.

Professor Colin McCowan, of the university’s School of Medicine, said: “One of the big unanswered questions with Covid-19 is how many people actually have caught it.

“We know about the people who contact the NHS but not those who have stayed at home self-isolating.

“This work will help us identify that group of people and allow us to examine if there are differences between them and the people who have contacted the NHS.

“This will give us a more accurate picture of how many people have Covid-19 and also help in planning how best we look after them.”

Blue Hat founder Tim Palmer said: “As experts in data and analytics we saw a lack of breadth in the data being collected, focussing on a narrow set of symptoms of those within a medical environment.

“We developed a crowd sourced data tracker in March to catch data from families who may only have minor symptoms and are delighted St Andrews will be using the data to aid the research.”