Now the problem with comparing cities in different countries is that you are dealing with different testing, recording and healthcare systems so any analyses produced should always be handled with a degree of caution.
Initially I started with some data on the total cases in NYC which when compared with London on my usual cases per 100K basis did not look right, so instead I have compared the London case data (typically confirmed in the hospital setting) with hospitalisation due to Covid-19 in NYC. This gives the chart below:
What we can see is that despite starting in quite similar positions on 11th March (high growth but low cases per 100K population) the curves quickly diverge - by 19th March NYC had more cases and nearly twice the daily growth rate (bearing in mind this is being compounded day-on-day at this point). This higher rate of cases and growth, meant that once the lockdown was triggered a higher trajectory for NYC was almost inevitable.
By early April this meant a plateau of 123 new cases per day per 100K population being hospitalised in NYC, nearly twice what was seen in London (67). Assuming a similar bed/population ratio in NYC to London, it's not hard to see how NYC was struggling to cope during late March early April - a rough estimate from this analysis suggests NYC would need over 10,000 beds in early April, compared to about 5000 beds in London at peak.
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