I was reading an opinion piece in The Guardian about the sorry state of public pools in England. With more and more closing for lack of proper funding, this being aggravated by the explosion in heating costs, as pools are excluded from governmental help. And the resulting impact on public health (and the NHS), since providing one less opportunity for exercising. And on general safety, since nowadays less children can swim… Which reminded me of the difficulty to find a pool in Oxford and Oaxaca. And of the cost of entering one in Roma and Milano. And of the relative accessibility of French pools, at least in cities, as shown by the estimation that 95% of the French high school students can swim to some extent.
Archive for Public Health England
the incredible shrinking pools
Posted in Kids, Running, Travel with tags England, Milano, NHS, Oaxaca, Oxford, Paris, Public Health England, swimming pool, The Guardian on February 10, 2023 by xi'anthe limits of R
Posted in Books, pictures, R, Statistics with tags Boris Johnson, COVID-19, epidemiology, journalism, Nature, nowcasting, pandemic, PHE, Public Health England, R, R number, R package, UK on August 10, 2020 by xi'an
It has been repeated many times on many platforms, the R (or R⁰) number is not a great summary about the COVID-19 pandemic, see eg Rossman’s warning in The Conversation, but Nature chose to stress it one more time (in its 16 Jul edition). Or twice when considering a similar piece in Nature Physics. As Boris Johnson made it a central tool of his governmental communication policy. And some mayors started asking for their own local R numbers! It is obviously tempting to turn the messy and complex reality of this planetary crisis into a single number and even a single indicator R<1, but it is unhelpful and worse, from the epidemiology models being wrong (or at least oversimplifying) to the data being wrong (i.e., incomplete, biased and late), to the predictions being wrong (except for predicting the past). Nothing outrageous from the said Nature article, pointing out diverse degrees of uncertainty and variability and stressing the need to immediately address clusters rather than using the dummy R. As an aside, the repeated use of nowcasting instead of forecasting sounds like a perfect journalist fad, given that it does not seem to be based on a different model of infection or on a different statistical technique. (There is a nowcasting package in R, though!) And a wee bit later I have been pointed out at an extended discussion of an R estimation paper on Radford Neal’s blog.
