Yes I really struggle with this argument of “yeah but what is the death rate by population”. Sorry but a life is a life and a loss is a loss and trying to alter the numbers this way to make them look less dire is disingenuous.
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I don’t find total deaths that helpful either. Maybe deaths per metropolitan msq. Need data to show connection between urban density & infection to prove or dismiss affect of design & planning. Too many unevidenced claims being banded about
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I disagree to a certain extent. Certainly if one is interested in rate of spread then it’s not that useful. However, if one is going to criticise a countries actions based absolute figures I.e. “UK could end up being worst affected country in Europe” https://www.bbc.co.uk/news/uk-52261859 … ...
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Then it makes sense to take into account of the population size. The (BASIC) SIR model predicts a final fixed *proportion* of infected individual in a population irrespective of size, not absolute numbers. To completely throw the idea of per capita numbers out is not helpful IMHO
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True, but it does allow us to compare countries of a similar size: France, Germany, Italy, Spain, UK.
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Why? A per population indicator is usually better for most metric. What makes it less useful for a pandemic? Population density? It’s certainly not intuitive and obvious why this metric is flawed.
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As a Pharmacokineticists I’m used to normalising (eg dose) to compare like with like. Why not normalise to population? I’m not an epidemiologist and so I’m seriously looking to be educated.
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This q sparked an idea for an analogy: how often in pharmacology would you normalise the rate of delivery of a dose based on eg weight/muscle density? Would a graph of that when you're a quarter of the way through delivery reveal useful information?
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