Category Archives: Bayes

A bit more serious attempt to estimate COVID Vaccine Efficacy

A few days ago, I did a quick & dirty Bayesian estimate on Covid Vaccine Efficacy, based on Israeli data, given in a Twitter post (see details on the data in the link above). As stated in the earlier post, … Continue reading

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Covid Sweden – status 2020-08-03

SCB.se just released their weekly preliminary stat’s on deaths all causes. However, before looking at that data, let’s take a look at how Covid has evolved in Sweden, based on the numbers from Johns Hopkins University: Something remarkable seems to … Continue reading

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Lockdowns – The Illusion of Controlling a Virus, part II

Just a brief addendum to part 1: Below a graph showing a Bayesian Linear Regression, using the OxCGRT index as predictor for deaths per million, for each individual country of the 14 countries I’ve been looking at lately: What’s interesting … Continue reading

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SWEDEN COVID-19 status July 27th

SCB.se just released their weekly preliminary numbers on all cause deaths, up until July 24th.  Since the numbers are preliminary, by previous experience we know that the last data point, representing July 17-24, will very likely be revised, slightly upwards. … Continue reading

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COVID-19 – are lockdowns effective…?

Using https://covidtracker.bsg.ox.ac.uk/ – an index that measures the stringency of measures taken by different governments to prevent the spread of Covid-19 – as predictor for deaths per million reveals that lockdowns are pretty much useless… Below chart based on data … Continue reading

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Covid-19 Sweden: A summary

Sweden has been painted as the Black Sheep of the international community with respect to its ways to deal with the Covid-19 virus.  People and orginizations around the world were very quick to paint Sweden as the Sodom & Gomorra … Continue reading

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Corona Sweden – weekly all cause death update : Sweden is firmly back to normal

SCB just released their weekly update on preliminary numbers for all cause deaths, up until July 10. Weekly deaths (red) are now firmly within the normal range, compared to average of 2015-2019. Cumulative number of Excess deaths (orange), compared to … Continue reading

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Corona Sweden : Probability of dying per age group

Just for fun, hacked a simple Bayesian Model* to figure out how the probability of dying has changed for a few age groups Jan-Jun 2020, compared to the average of the same period 2015-2019.  (In case anyone wonders why on … Continue reading

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Corona US – republican vs democratic states

First, I don’t know anything about US politics, and frankly, I don’t care, but as an interesting example on data analysis, if nothing else, below is a graph showing Corona deaths_per_million, where US states are categorised into Republican vs Democratic, … Continue reading

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Corona – Latitude matters (!)

I was pointed towards looking into the possible impact of Latitude – yes, that’s right! – on Corona related deaths by Ivor Cummins, twitter handle @FatEmperor, who is very much involved in clearing up the pseudo-scientific mess the world has … Continue reading

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