I expect there's more to it:
Germany: 22.36% over 65. No reported deaths in 1151 cases = 0%
France: 19.82% over 65. Death rate 19 / 1209 = 1.57%
Spain: 18.15% over 65. Death rate 25 / 979 = 2.55%
i.e. on this small sample, death rate is not simply explained by age
structure.
my guess is that it is also something to do with poverty and the state of
the healthcare system.
Greg
> Interesting insights
>
>
>
> Thomas Cox PhD RN
> [log in to unmask]
>
>
> On Monday, March 9, 2020, 07:58:42 AM EDT, David Gordon
> <[log in to unmask]> wrote:
>
> #yiv7131858572 P {margin-top:0;margin-bottom:0;}Less than 12% of the
> population in China is aged over 65.
> Almost 23% of the population of Italy is aged over 65.
> Covid-19 seems to result in significantly higher death rates amongst older
> people.
> If you control for the age profile of Lombardy vs you comparison
> countries, then there may be no significant differences in the Lombardy
> mortality rate
>
> Regards
> David Gordon
> PS about 18% of the UK population is aged over 65....
> ___________________________________________
> Dave Gordon
> Bristol Poverty Institute
> Townsend Centre for International Poverty Research
> University of Bristol
> 10 Woodland Road
> Bristol BS8 1TZ, UK
>
> E-Mail: [log in to unmask]
> Tel: +44-(0)117-954 6761
> Fax: +44-(0)117-954 6756
> From: email list for Radical Statistics <[log in to unmask]> on
> behalf of Greg Dropkin <[log in to unmask]>
> Sent: 09 March 2020 11:33
> To: [log in to unmask] <[log in to unmask]>
> Subject: Re: Over to you, Radstatters! What can you make of this?! The
> death rate in Lombardy 6.37% is significantly higher than in Italy as
> a whole 4.96%, and Italy is much higher than the world rate 3.5%
>
> in R
>
> prop.test(c(267,366),c(4189,7375))
>
> 2-sample test for equality of proportions with continuity correction
>
> data: c(267, 366) out of c(4189, 7375)
> X-squared = 10.01, df = 1, p-value = 0.001557
> alternative hypothesis: two.sided
> 95 percent confidence interval:
> 0.00501951 0.02320298
> sample estimates:
> prop 1 prop 2
> 0.06373836 0.04962712
>
>
> prop.test(c(366,3892),c(7375,111228))
>
> 2-sample test for equality of proportions with continuity correction
>
> data: c(366, 3892) out of c(7375, 111228)
> X-squared = 42.383, df = 1, p-value = 7.505e-11
> alternative hypothesis: two.sided
> 95 percent confidence interval:
> 0.009490875 0.019780984
> sample estimates:
> prop 1 prop 2
> 0.04962712 0.03499119
>
> Greg
>
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