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The End of Data Collection – so what happens next?
Now that we’ve entered the summer term it’s time to stop collecting the weekly school absence data. Did I just hear a sigh of relief? The national data suggest that whilst there is still small amounts of flu circulating, levels are low, so it’s a good time to end this part of the project. To…
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Investigating the epidemiology of flu, Big Brother style
In these LabLogs I’ve talked endlessly about how we can’t predict the start of an influenza outbreak. Despite this, you might be surprised to learn that there are many things still to learn about how influenza is transmitted from one person to another. When someone with influenza sneezes they produce big bits of snot that…
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The Bigger Picture
The flu season has been as unpredictable as ever this year; in this blog Dr Rob looks at data from the UK and across Europe to try and understand the bigger. I’ve said it before, and I’m sure I’ll say it again, but flu seasons are unpredictable. This year has been no exception: there was…
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The week four blip
In week four there was an increase in the number of school absences, similar to a peak just before the Christmas holiday. Was this due to flu, or are there other possible explanations? It would be fair to say that Shane and I had a fairly nervous but exciting telephone conversation last week. Our absence…
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Drawing DecipherMyData graphs – proceed with caution.
The way a graph is drawn can have a big influence on how the results are interpreted. In this lab log Dr Rob discusses some of the dangers in drawing graphs with DecipherMyData . Most of the analyses we’ll be doing in DecipherMyData involves drawing graphs as there aren’t many statistical tests we can perform to…
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Deciphering the data – influences of other viruses on absence levels
Infections other than flu could influence the school absence data. In this post, Dr Rob looks at whether two other common viruses influence DecipherMyData’s results. As some of you highlighted in the LabLogs, a big limitation with our school absence data is that we don’t collect information on the reason for school absence. So an…
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The big news this month..
The Flu season has officially started. We’ve noticed that over the past three weeks there has been a reported increase in the number of people visiting their GP with flu like symptoms. The greatest number of those visiting has been children aged 1-4, followed by 5-14 year olds, which shows that there’s almost certainly flu in…
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Missing data – the silent problem that’s finally causing a noise
Systematic reviews of research give more reliable evidence of the benefits and risks of treatments, yet they are often hampered by missing data. Dr Rob joins others in calling on drug companies to publish all their data and reassures that this project will too. I recently wrote about the fact that some of my colleagues…
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Flu scientists get colds too!
A few people at work have come down with colds over the last couple of weeks. So far I’ve managed to avoid getting unwell, possibly because my years of working on a hospital ward have left their mark in the form of a reflex washing of my hands whenever I’m near a sink….. It’s unlikely…
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Watching for flu – we need your data
The big news keeping us flu watchers busy this week is the new coronavirus contracted by a patient from the Middle East who recently arrived in the UK. We’re interested because it is new and the only other person known to have been infected with it died, so it’s not something to be taken lightly. Improvements in…
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Flu over the summer
Decipher my data wasn’t collecting absence levels over the summer as schools were on holiday and there typically isn’t much flu around during this time. However, research and public health work preparing for the flu season goes on, so what have you missed? Two important stories emerged during the break: the first around vaccinating school…
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Why season two is important
Hi! I’m Dr Rob, and I’m helping to run the flu project again this year. Just like last year, we can’t be sure what we will find, but we do think that it is important. Why flu is important In the majority of people influenza (or flu as most of us call it) causes a…
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Detecting the unpredictable: the start of a flu season
A variety of factors trigger a flu season, making it difficult to predict. We don’t fully understand these factors yet, let alone how they are linked. It’s because we can’t forecast the start of the season that we carry out projects like Decipher my data! Flu! We can at least detect flu and so far…
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Got something to say about the data? Write a LabLog!
There is now a new data analysis tool on the site; XY scatter graphs. These graphs will help you examine whether school absence due to flu is linked to variables, including percentage of pupils on free school meals and average age of school buildings. We haven’t seen a peak in national flu, yet. This means school…
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The school holidays: a break in the data
The school holidays over Christmas might have given schools a welcomed break but they also stopped us from collecting data for couple of weeks. This is one of the main scientific limitations of this project, as it means we can’t monitor what’s going on during this period using school absence levels. Despite the break in…
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How to make an epidemiologist happy
After months of planning and hard work we’ve got some data! There’s now a graph on the welcome page for you to look at, this is being updated with data as it comes in. Because it’s live data don’t be surprised if the numbers jump around a bit, and like us, you’ll need to be…
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The known unknowns
In 2002 Donald Rumsfeld (the former United States Secretary of Defense) made a famous speech describing categories for what US intelligence services did and didn’t know about Iraq and it’s supply of weapons of mass destruction. One of Mr Rumsfeld’s categories was called the known unknowns. To clarify what he meant Mr Rumsfeld explained “we know…
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Icebergs, outbreaks and Flu
The Flu! project is all about trying to create a new and exciting method of Flu surveillance. When epidemiologists talk about surveillance, they mean the continuous collection, analysis and interpretation of data that be used to prevent and control diseases. This tells us how much Flu there is in the community and where it is…
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The green light at end of the tunnel!
UCL’s ethics committee have now given Decipher My Data the green light for inviting schools to take part in the project. This is the result of 12 months of planning and preparation, including coming up with the project idea, finding funding, specifying the research protocol, and submitting it to the UCL ethics committee for approval.…
Real Science, real data
Decipher My Data – Flu!
On September 15th 2010 Declan Fleming, a teacher we knew from a previous project, visited our office for lunch and a conversation about an idea he had. That idea grew into Decipher My Data and the report below evaluates the success we have had so far with the idea.