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Everywhere saw a similar shape of curve, i.e. exponential increase until the lockdown, then slow exponential decrease. The peak of the curve differed widely, an

Everywhere saw a similar shape of curve, i.e. exponential increase until the lockdown, then slow exponential decrease. The peak of the curve differed widely, and countries that were slow to lock down like the UK, Sweden and USA have seen some of the worst outcomes. Correlating lockdown policy to outcome does not make sense because lockdowns are instituted in response to case levels in the first place. It is like correlating fire trucks and fires, and finding that fire trucks cause fires because there are more of them in dry, fire-prone areas. Sweden provides something close to a natural experiment, it has similar culture and climate to its neighbors but a far worse outcome after it did not lock down. Prisons are not especially weighted toward older people and they have seen outbreaks with as many as 80% being infected.

dalore 6y ago
You just ignored the science in front of you and assumed countries like Sweden was because of the lock downs. When the maths doesn't add up. I don't think you even read my comment nor the paper as I didn't mention cases but mortality. If lock down is a reactionary process to cases then the different types of lock down should change the mortality. Sweden, New York and UK are easily explained if look at the age range and location of deaths. It was the reaction of sending sick patients out to care homes. Bringing up Sweden, you just cherry picked only it's Nordic neighbours, but it compares quite well, and normal, with the other European countries. If you look at the previous flu seasons for the Nordic countries you will see that Sweden had a few years of very low deaths, whilst the countries you cherry picked had a few years of high death. So Sweden's care homes were packed with more vulnerable people. Prisons also further support the t-cell theory. People in prison don't get enough sunlight and vitamin-D, reducing their t-cell immunity. Also they are heavily weighted towards minorities who are more susceptible. And since coronovirus are quite seasonal usually, and t-cell response changes with season, it's why we are seeing different cycles for the northern hemisphere, the southern hemisphere and the equatorial regions. USA is a big country, the northern states got hit first and now the southern states are matching the regions like Mexico. USA is so big you need to treat each state like it's own region and not generalise.

dalore 6y ago

You just ignored the science in front of you and assumed countries like Sweden was because of the lock downs. When the maths doesn't add up. I don't think you even read my comment nor the paper as I didn't mention cases but mortality. If lock down is a reactionary process to cases then the different types of lock down should change the mortality. Sweden, New York and UK are easily explained if look at the age range and location of deaths. It was the reaction of sending sick patients out to care homes. Bringing up Sweden, you just cherry picked only it's Nordic neighbours, but it compares quite well, and normal, with the other European countries. If you look at the previous flu seasons for the Nordic countries you will see that Sweden had a few years of very low deaths, whilst the countries you cherry picked had a few years of high death. So Sweden's care homes were packed with more vulnerable people. Prisons also further support the t-cell theory. People in prison don't get enough sunlight and vitamin-D, reducing their t-cell immunity. Also they are heavily weighted towards minorities who are more susceptible. And since coronovirus are quite seasonal usually, and t-cell response changes with season, it's why we are seeing different cycles for the northern hemisphere, the southern hemisphere and the equatorial regions. USA is a big country, the northern states got hit first and now the southern states are matching the regions like Mexico. USA is so big you need to treat each state like it's own region and not generalise.