_England & Wales Autumn Covid deaths show regional heterogeneity. London, in particular, is interesting_
London's more severe & earlier spring growth may well explain why it has, to date, seen less of an autumn rise.
[Charts normalised by ytd non-covid deaths.]
[27Nov2020_1]
The generally held belief is that only a small percentage of people have so far been infected by SARS-CoV-2 & that the vast majority remain susceptible to infection - hence all the measures taken.
There are, however, reasons & evidence suggesting that this is not the case.
If the vast majority of people were still susceptible, one would expect growth everywhere. However, autumn rises have varied greatly across regions.
London especially, given its nature (crowding etc) would be expected to show aggressive growth, as it did in spring.
It has not.
The past provides a clue as to the reason.
London's spring rise in Covid deaths was the most aggressive: not only faster & larger than other regions, but also earlier. When lockdown was implemented, it was already well along in its epidemic curve. Deaths peaked soon after.
Given that the average time lag between infection & death is a number of weeks, it is clear that London's infections had already peaked before lockdown.
Therefore infections - & deaths - did not decline because of lockdown. They declined naturally.
It would appear that, in London, the virus largely ran its natural course, with too few susceptible people then remaining (due to infections &/or pre-existing immunity) to enable substantial new growth.
Infections -& deaths- can still occur. But not a repeat of spring.
The other regions were also well along in their curves at the time of lockdown - remembering again that infections run well ahead of deaths - but a little less so than London.
It would seen feasible that the lockdowns in those regions did prevent a minority of infections from occurring in the spring. This would mean that enough susceptible people then remained to allow growth in infections later.
Hence, while infections appear to have increased in many regions, there is significant variation. London, by far the worst affected region in the spring, has been, to date, one of the least affected in the autumn.
Another, critical, point emerges from this:
As London (& many other locations) show, the virus, while nasty & tragic for many, appears to result in far fewer total deaths than generally predicted, e.g. 500k were predicted for the UK without measures (ICL, March 2020).
All of our actions (lockdowns etc) have been based on the beliefs that everyone is susceptible to infection; that only a small percentage have been infected so far, &; that the virus could kill some 0.5~1% of the population (e.g. 500k UK deaths with no measures, ICL March 2020).
Reason & evidence (this discussion being but one example of many) would suggest that this is not the case & that we may well have overestimated the overall risk by a factor of about 10.
[Analysis, thoughts, opinions & errors my own]
_Note re data:_
ONS classify any mention of Covid on a death certificate as Covid death & take no account of testing issues. True Covid deaths are therefore debatable, especially in recent months, but we can use these data to compare regions.
_Note re normalisation of data:_
Charts here are normalised by year to date non-Covid deaths. i.e. Covid deaths relative to normal mortality. This, whilst not perfect, is more useful for comparisons.
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UK Health secretary comments that the goal is to bring R below 1 & keep it there until a vaccine.
A Sisyphean task.
Impossible.
Not due to the virus, but due to a misunderstanding of logic, science & maths.
Infections rising: R > 1
Infections falling: R < 1
This would seem simple. As the epidemic grows R is above 1. As it wanes, R is below 1.
But infections cannot fall forever.
When the level of infections has fallen to very low levels (or even zero) & a large proportion of the infections detected are false positives, then the infection figures will appear fairly stable; albeit with some noise, which is a problem at lower numbers.
The PCR debacle, operation Moonshot, masks, school closures, ruined health, futures and incomes, liberties... All spring forth from our underlying beliefs about the virus. These issues, important as they are, distract our attention from the most important questions of all...
...No one denies that it's a nasty virus that can be lethal. I know people who've suffered with it. I also know plenty who've had horrible experiences with other things too (often caused by the avoidable actions of people). There's no risk-free option...
...It was claimed approx 500K people in the UK & 2M in USA would die, (~0.5-1% of the population). On that basis we closed much of the world.
But, even the hardest hit countries lost roughly one tenth of that number of people (& that despite the differences in measures taken)...
"Antibodies, after all, are just one facet of the body's complex immune system"
Many act as if this is not the case. & yet, even with minimal immunological knowledge, the idea that antibodies might be the full story is disproved by observed reality.
"the new study indicated that other factors like T cells showed only a slight decay several months out from infection, while B cells, which produce new antibodies as needed, had actually grown in number in most participants"
CZECH REPUBLIC & OTHER EUROPEAN
HIGHER FATALITY COUNTRIES
(thread)
Signs of Czech Rep deaths slowing? I wish them well. Interesting, yet again, that the cumulative total is so similar to other hard hit locations, which are all around 10x lower than generally used predictions...
The point is not to use these data for some ugly competition. Rather, these data and their differences - or similarities - can reveal very important information about #SARSCoV2 .
For example, UK deaths were predicted to reach ~7500 per Million (=~500k people, without measures).
However, if the hypotheses that led to such predictions were true, & such totals have only been averted by lockdown, then one would expect large variations between countries (as exact details & timing of lockdown and other measures would be critical).
"Professor J Savulescu from the University of Oxford said incentives would help to overcome rising vaccine hesitancy due to perceived safety concerns... he writes in the Journal of Medical Ethics."
Take the vaccine & get cash or a "get out of mask free" card.
Medical Ethics?!?!
The idea of offering someone you've half scared to death and have deprived of normal life (and much more) a partial release from the madness, or some cash, if they agree to accept the risk of a vaccine does not belong in anything that has the word "ethics" in it's title.
Unsurprisingly, also from the same article,
"Prof Savulescu says that there is a case for mandatory vaccination because of the "grave" threat to public health."