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📊 Update public expenditure on health OMM #4063
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data-diff: ❌ Found differences= Dataset garden/artificial_intelligence/2025-02-04/epoch_aggregates_affiliation
= Table epoch_aggregates_affiliation
= Dataset garden/artificial_intelligence/2025-02-04/epoch_aggregates_domain
= Table epoch_aggregates_domain
= Dataset garden/artificial_intelligence/2025-02-04/epoch_compute_intensive_countries
= Table epoch_compute_intensive_countries
= Dataset garden/artificial_intelligence/2025-02-04/epoch_compute_intensive_domain
= Table epoch_compute_intensive_domain
= Dataset garden/cdc/latest/measles_cases
= Table measles_cases
~ Column cases (changed metadata)
- - date_accessed: '2025-03-05'
? ^
+ + date_accessed: '2025-03-04'
? ^
~ Column outbreaks_n (changed metadata)
- - date_accessed: '2025-03-05'
? ^
+ + date_accessed: '2025-03-04'
? ^
~ Column states_with_cases (changed metadata)
- - date_accessed: '2025-03-05'
? ^
+ + date_accessed: '2025-03-04'
? ^
= Dataset garden/emissions/2025-02-12/ceds_air_pollutants
= Table ceds_air_pollutants
= Dataset garden/health/latest/measles_long_run
= Table measles_long_run
~ Column case_rate (changed metadata)
- - date_accessed: '2025-03-05'
? ^
+ + date_accessed: '2025-03-04'
? ^
~ Column case_rate_static (changed metadata)
- - date_accessed: '2025-03-05'
? ^
+ + date_accessed: '2025-03-04'
? ^
~ Column cases (changed metadata)
- - date_accessed: '2025-03-05'
? ^
+ + date_accessed: '2025-03-04'
? ^
~ Column cases_static (changed metadata)
- - date_accessed: '2025-03-05'
? ^
+ + date_accessed: '2025-03-04'
? ^
+ Dataset garden/health_expenditure/2025-03-04/health_expenditure_omm
+ + Table health_expenditure_omm
+ + Column share_gdp
+ Dataset garden/health_expenditure/2025-03-04/lindert
+ + Table lindert
+ + Column share_gdp
= Dataset garden/iea/2024-11-20/fossil_fuel_subsidies
= Table fossil_fuel_subsidies
= Dataset garden/minerals/2024-07-15/minerals
= Table minerals
+ Dataset garden/oecd/2025-03-04/health_expenditure_1993
+ + Table health_expenditure_1993
+ + Column share_gdp
Legend: +New ~Modified -Removed =Identical Details
Hint: Run this locally with etl diff REMOTE data/ --include yourdataset --verbose --snippet Automatically updated datasets matching weekly_wildfires|excess_mortality|covid|fluid|flunet|country_profile|garden/ihme_gbd/2019/gbd_risk are not included Edited: 2025-03-05 19:20:32 UTC |
Hi @spoonerf! I have recreated your work in the public expenditure as a share of GDP OMM, so we can maintain it up-to-date. Please take a look if everything makes sense. We now have the OECD Health Expenditure and Financing Database, please take a look if you still think that picking Government/compulsory schemes is the best option. It looks like it, but we also have Government schemes available. You can even play with the categories by changing CATEGORY_OECD in the garden step of health_expenditure_omm |
@spoonerf If helpful, you can also take a look at this comparison between the current OECD data, your version of the OMM and this new version: http://staging-site-data-public-expenditure-heal/admin/charts/8532/edit |
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Hey @paarriagadap!
The code all looks good to me, much nicer than my previous version!
As far as whether we should use Government/Compulsory or Government, I'm happy for you to make the call, I think you have a better understanding of the implications than me. For some countries, like Germany (below), it seems like Government/Compulsory is clearly more aligned with the earlier time-series.
I added just Government schemes to your comparison chart and made a scatter plot directly comparing them here, just for interest/exploration, but feel free to delete it!
title: Public health expenditure as a share of GDP | ||
unit: "% of GDP" | ||
short_unit: "%" | ||
description_short: Public health expenditure divided bt gross domestic product, expressed as a percentage. |
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small typo "bt"
# Learn more about the available fields: | ||
# http://docs.owid.io/projects/etl/architecture/metadata/reference/ | ||
dataset: | ||
update_period_days: 365 |
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Perhaps should be 0 as I don't expect we'll update this
Recreate the public expenditure on health OMM that combines three datasets to get the indicator as share of GDP in the long run.
Main issue here https://github.com/owid/owid-issues/issues/1594