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While my instinctive reaction to #Covid_19 is to #shutdown everything, it's worth bearing in mind the government will have evaluated this option. So why not do it? Instead there is talk of "herd immunity" and "taking it on the chin" 1/n
My suspicion is that the government is thinking about the viruses evolution and the possibility of a 'second wave'. This is not unreasonable as we do know that the #coronavirus is mutating (albeit we don't know if this is functional): 2/n
With #SpanishFlu of 1918 it is been hypothesised that the second wave was worse for young people because of the selective pressures of the trenches: "the severely ill were sent on crowded trains to crowded field hospitals, spreading the deadlier virus" shorturl.at/kmMPQ 3/n
If all European countries go into lockdown then what selective pressure will that put on #coronavirus? Asymptomatic and mild strains wouldn't spread as fast because people will be hiding at home. Really sick people will go to hospital though and infect doctors and patients. 4/n
Hence the idea that if the UK "takes it on the chin" while other countries are in lockdown, then we get immunity from a mild strain, while the nightmare strain is still evolving in the lockdown countries. 5/n
This theory is dependent on the idea that there is very significant unreported spread of the virus. Supposedly the government is working on the assumption of a mortality rate <1% giorgio.gilest.ro/2020/03/12/the… 6/n
A mortality rate <1% is significantly less than the the #WHO's estimate for CFR of 3.4% (let alone the IFR). It's certainly lower than the figure you get looking at closed cases in Italy worldometers.info/coronavirus/co… 7\n
Now, I know very little about epidemiology or virology, but if the nation's health is being put on the line for this theory: show us the data. Let's get the code for models on github. Perhaps they are well established models amongst those in the field? (@MarcBaguelin?) 8\n
I don't understand why there are not .csv files released daily reporting case-by-case stats on who's been tested / diagnosed (age, location, needs ICU, etc). 9\n
If there is significant under detection of cases, presumably this would show as a depletion of young folk amongst the diagnosed cases (adjusted for average number of edges in social networks by age). Is this there? Nobody can test without the data. We need #openscience. 10\n
Having defended the governments position, I'm off to buy a few multi packs of bog roll, a years supply of food and a membership policy for a converted nuclear bunker 11\n
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