"More than 37,000 people with a symptomless Covid-19 infection have been detected through rapid lateral flow testing in the UK, the chief medical adviser for NHS Test and Trace has said. (Dr Susan Hopkins)"
Based on this, and the fact that since 6/11 there have been 3,136,287 LTF tests conducted we can calculate that the positivity rate is around 1,18%
Same time period for PCR: 13,9%
This, in itself, is meaningless because we don't know:
- context
- geo
- symptomatic/asymptomatic groups
- demographics
....and a whole lot more.
But it begs the question on what research and data are they basing the use of these? It seems counter productive on so many levels - at least to the outsider. And I cannot imagine any valid scientific reason to use these in the fashion they are using them.Caveat: there are valid use cases for it.
Also begs question no2: are all LTFs this crap or is it just innova? Or if others were used in the exact same setting would they do better/worse? I'm assuming that UK is only using Innova as I remember reading something along the line. If we are using more, than it would be an even more interesting figure to see how they compare to each other.
Q no.3: aside scientific, psychological and public health questions - did anyone do a financial analysis of this as a tool?
My final thought on this is that if I was gov the only reason I would not make all data public is because it would reflect back on me badly. I cannot fathom this level of stupidity after this many months of being in the exact same boat.
Now please take this to pieces and come up with ideas on why ltf usage is good, reliable and valid