Calculation of SmED Assessments per 100.000 wrong?!!

zidatalab / ambulante_notfaelle

Echtzeit Informationen zu ambulanten Notfällen

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Calculation of SmED Assessments per 100.000 wrong?!! #35

Closed anjaseidel closed 1 year ago

anjaseidel commented 2 years ago

Example: September 2022, Bayern Return values of API: Assessments = 34044 BEVSTAND = 13140183 Assessments per 100.000 inhabitants = (Assessments/BEVSTAND)100000 = (34044/13140183)100000 = 259,08

Value displayed in the plot: 303,1424

@lekroll : It looks like you are accidentally calculating with the KM6 instead of the BEVSTAND KM6Versicherte = 11230364 (34044/11230364)*100000 = 303,1424 see https://github.com/zidatalab/ambulante_notfaelle/blob/cd55e0e355d15f04873ddadbff3cacd176c2c476/Dashboard/src/app/services/smed-aggregation.service.ts#L31

bzoch-lesniak commented 1 year ago

Falls Berechnung mit KM6-Statistik bestehen bleiben soll, Änderung der Beschriftung in "pro 100.000 KV-Versicherte".
Da wir sonst immer pro Einwohner angeben und auch privat Versicherte theoretisch anrufen dürfen (es wird nie gefragt, ob man gesetzlich oder privat versichert ist) fänd ich eine Änderung des Nenners zu Einwohner besser.

Inoakabu commented 1 year ago

After talking to @anjaseidel so I understand what is going here. We just need a decision:

do we change the text according to the data
we change the data according to the text

Please decide @lekroll @bzoch-lesniak - and let me know :)

bzoch-lesniak commented 1 year ago

@Inoakabu Please change the data according to the text (pro 100 Tsd. Einwohner). Danke! :)

Inoakabu commented 1 year ago

So @anjaseidel we have to implement your Changes - How are we tackling this?

anjaseidel commented 1 year ago

by merging the pull request? :-)