Population data and rates

epiforecasts / covid19.nhs.data

Trust-level COVID-19 hospitalisations in England

https://epiforecasts.io/covid19.nhs.data

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Population data and rates #2

Open seabbs opened 3 years ago

seabbs commented 3 years ago

It would probably be sensible to normalise by population and offer rates per 100,000 as a secondary option to straight admissions. This would need:

Support for populations at LTLA and UTLA level.
Support for population passing in functions with defaults to package built in
Support for outputting rates (i.e calculate and include)
Support for mapping rates + summarising by rate.

robchallen commented 3 years ago

So I've worked on similar problem with different approach and have been writing it up here:

https://terminological.github.io/arear/

https://terminological.github.io/arear/articles/catchment-areas.pdf

I'm thinking I will try and validate my algorithmic approach with your data driven one.

There are various bits to my project that could help here, e.g. areal interpolation of demographics. Be great if you could re-use any of that. All the best, Rob.