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COVID-19 Collection

COVID-19 Collection
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Will lateral flow tests pick up Omicron Covid? The differences between lateral flows and PCRs explained

Will lateral flow tests pick up Omicron Covid? The differences between lateral flows and PCRs explained
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How accurate are lateral flow tests and can they detect Omicron?

How accurate are lateral flow tests and can they detect Omicron?
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Lateral flow tests are 95% effective at detecting Covid-19 when used at the onset of symptoms


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A new study by researchers at Queen Mary University of London, University of Oxford, Institute for Advanced Studies, Vienna, and the Medical University of Graz, has found that lateral flow tests detect Covid-19 with similar accuracy to laboratory-based PCR tests, providing they are used at the onset of infection and soon after symptoms start.
Lateral flow tests are cheaper and produce a result in just 30 minutes - much faster than the time it takes to receive a PCR test result, which can take 1-3 days. The finding could be pivotal to national strategies looking to tackle the next phase of the pandemic, especially as timely and rapid testing becomes even more important once the current restrictions lift in England.

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A new study by researchers at Queen Mary University of London, University of Oxford, Institute for Advanced Studies, Vienna, and the Medical University of Graz, has found that lateral flow tests detect Covid-19 with similar accuracy to laboratory-based PCR tests, providing they are used at the onset of infection and soon after symptoms start.
Lateral flow tests are cheaper and produce a result in just 30 minutes - much faster than the time it takes to receive a PCR test result, which can take 1-3 days. The finding could be pivotal to national strategies looking to tackle the next phase of the pandemic, especially as timely and rapid testing becomes even more important once the current restrictions lift in England.

Austria , Vienna , Wien , Liezen , Steiermark , Thomas-czypionka , Werner-leber , Institute-for-advanced , University-of-graz , Big-data-institute , University-of-oxford , Queen-mary-university-of-london