📊 hmd update #3642
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📊 hmd update #3642
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data-diff: ❌ Found differences~ Dataset garden/antibiotics/2024-11-12/antimicrobial_usage
- - update_period_days: 365
? ^^
+ + update_period_days: 308
? ^^
- - Table class_aggregated
- - Column ddd_anti_malarials
- - Column ddd_antibacterials_and_antituberculosis
- - Column ddd_antifungals
- - Column ddd_antituberculosis
- - Column ddd_antivirals
- - Column did_anti_malarials
- - Column did_antibacterials_and_antituberculosis
- - Column did_antifungals
- - Column did_antituberculosis
- - Column did_antivirals
= Table class
~ Column ddd (changed metadata)
- - Defined daily doses of <% if routeofadministration == "O" %> orally administered <% elif routeofadministration == "P" %> parentearally administered <% elif routeofadministration == "R" %> rectally administered4 <% elif routeofadministration == "I" %> inhaled <% endif %> << antimicrobialclass.lower()>> - << atc4name.lower() >> used
? ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ + Defined daily doses of <% if routeofadministration == "O" %> orally administered <% elif routeofadministration == "P" %> parentearally administered <% elif routeofadministration == "R" %> rectally administered4 <% elif routeofadministration == "I" %> inhaled <% endif %> << antimicrobialclass>> - << atc4name.lower() >> used
? ++++++++++++++++ ^^^
- - description_short: Total (#dod:defined-daily-doses) of antimicrobials used in a given year.
+ + description_short: Volume of antimicrobials used in a given year.
- - display:
- - numDecimalPlaces: 0
~ Column did (changed metadata)
- - description_short: Total (#dod:defined-daily-doses) of antimicrobials used per 1000 inhabitants per day.
+ + description_short: Volume of antimicrobials used per 1000 inhabitants per day.
- - display:
- - numDecimalPlaces: 1
= Table aware
~ Column ddd (changed metadata)
- - Total (#dod:defined-daily-doses) of AWaRe category: << awarelabel >> antibiotics used in a given year. <% if aware == "A" %> Access antibiotics have activity against a wide range of common pathogens and show lower resistance potential than antibiotics in the other groups. <% elif aware == "W" %> Watch antibiotic have higher resistance potential and include most of the highest priority agents among the Critically Important Antimicrobials for Human Medicine and/or antibiotics that are at relatively high risk of bacterial resistance. <% elif aware == "R" %> Reserve antibiotics should be reserved for treatment of confirmed or suspected infections due to multi-drug-resistant organisms. Reserve group antibiotics should be treated as “last resort” options. <% elif aware == "O" %> The use of the Not classified/Not recommended antibiotics is not evidence-based, nor recommended in high-quality international guidelines. WHO does not recommend the use of these antibiotics in clinical practice. <% endif %>
? ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ + Volume of AWaRe category: << awarelabel >> antibiotics used in a given year. <% if aware == "A" %> Access antibiotics have activity against a wide range of common pathogens and show lower resistance potential than antibiotics in the other groups. <% elif aware == "W" %> Watch antibiotic have higher resistance potential and include most of the highest priority agents among the Critically Important Antimicrobials for Human Medicine and/or antibiotics that are at relatively high risk of bacterial resistance. <% elif aware == "R" %> Reserve antibiotics should be reserved for treatment of confirmed or suspected infections due to multi-drug-resistant organisms. Reserve group antibiotics should be treated as “last resort” options. <% elif aware == "O" %> The use of the Not classified/Not recommended antibiotics is not evidence-based, nor recommended in high-quality international guidelines. WHO does not recommend the use of these antibiotics in clinical practice. <% endif %>
? ^^^^^^^^^
- - display:
- - numDecimalPlaces: 0
~ Column did (changed metadata)
- - Total (#dod:defined-daily-doses) of AWaRe category: <<awarelabel>> used per 1000 inhabitants per day. <% if aware == "A" %> Access antibiotics have activity against a wide range of common pathogens and show lower resistance potential than antibiotics in the other groups. <% elif aware == "W" %> Watch antibiotic have higher resistance potential and include most of the highest priority agents among the Critically Important Antimicrobials for Human Medicine and/or antibiotics that are at relatively high risk of bacterial resistance. <% elif aware == "R" %> Reserve antibiotics should be reserved for treatment of confirmed or suspected infections due to multi-drug-resistant organisms. Reserve group antibiotics should be treated as “last resort” options. <% elif aware == "O" %> The use of the Not classified/Not recommended antibiotics is not evidence-based, nor recommended in high-quality international guidelines. WHO does not recommend the use of these antibiotics in clinical practice. <% endif %>
? ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ + Volume of AWaRe category: <<awarelabel>> used per 1000 inhabitants per day. <% if aware == "A" %> Access antibiotics have activity against a wide range of common pathogens and show lower resistance potential than antibiotics in the other groups. <% elif aware == "W" %> Watch antibiotic have higher resistance potential and include most of the highest priority agents among the Critically Important Antimicrobials for Human Medicine and/or antibiotics that are at relatively high risk of bacterial resistance. <% elif aware == "R" %> Reserve antibiotics should be reserved for treatment of confirmed or suspected infections due to multi-drug-resistant organisms. Reserve group antibiotics should be treated as “last resort” options. <% elif aware == "O" %> The use of the Not classified/Not recommended antibiotics is not evidence-based, nor recommended in high-quality international guidelines. WHO does not recommend the use of these antibiotics in clinical practice. <% endif %>
? ^^^^^^^^^
- - display:
- - numDecimalPlaces: 1
= Dataset garden/demography/2023-06-27/world_population_comparison
= Table world_population_comparison
+ Dataset garden/demography/2024-12-02/survivor_percentiles
+ + Table survivor_percentiles
+ + Column age
~ Dataset garden/hmd/2024-11-27/hmd (new version)
- - version: '2023-09-19'
? ^^^^ ^
+ + version: '2024-11-27'
? ^ ^^^^
- - Table hmd
- - Column central_death_rate
- - Column probability_of_death
- - Column average_survival_length
- - Column number_survivors
- - Column number_deaths
- - Column number_person_years_lived
- - Column number_person_years_remaining
- - Column life_expectancy
- - Column exposure
- - Column deaths
- - Column life_expectancy_fm_diff
- - Column life_expectancy_fm_ratio
- - Column central_death_rate_mf_ratio
+ + Table exposures
+ + Column exposure
+ + Table diff_ratios
+ + Column life_expectancy_fm_diff
+ + Column life_expectancy_mf_ratio
+ + Column central_death_rate_mf_ratio
+ + Table life_tables
+ + Column central_death_rate
+ + Column probability_of_death
+ + Column average_survival_length
+ + Column number_survivors
+ + Column number_deaths
+ + Column number_person_years_lived
+ + Column number_person_years_remaining
+ + Column life_expectancy
+ + Table births
+ + Column births
+ + Column birth_rate
+ + Table population
+ + Column population
+ + Table deaths
+ + Column deaths
= Dataset garden/missing_data/2024-03-26/children_out_of_school
= Table children_out_of_school
= Dataset garden/wb/2024-06-10/gender_statistics
= Table gender_statistics
~ Column sg_law_eqrm_wk (changed data)
~ Changed values: 24 / 15124 (0.16%)
country year sg_law_eqrm_wk - sg_law_eqrm_wk +
Slovakia 1980 1.0 0.0
Slovakia 1981 1.0 0.0
Slovakia 1984 1.0 0.0
Slovakia 1990 1.0 0.0
Slovakia 1992 1.0 0.0
= Dataset garden/wb/2024-06-10/gender_statistics_country_counts
= Table gender_statistics
~ Column sg_law_eqrm_wk_no_count (changed data)
~ Changed values: 48 / 378 (12.70%)
country year sg_law_eqrm_wk_no_count - sg_law_eqrm_wk_no_count +
Europe 1974 38 39
World 1972 186 187
World 1975 181 182
World 1976 180 181
World 1978 178 179
~ Column sg_law_eqrm_wk_no_pop (changed data)
~ Changed values: 48 / 378 (12.70%)
country year sg_law_eqrm_wk_no_pop - sg_law_eqrm_wk_no_pop +
Europe 1974 550689102 555379750
World 1972 3728735983 3733335785
World 1975 3877380047 3882119222
World 1976 3923263849 3928052362
World 1978 4011155699 4016041432
~ Column sg_law_eqrm_wk_yes_count (changed data)
~ Changed values: 48 / 378 (12.70%)
country year sg_law_eqrm_wk_yes_count - sg_law_eqrm_wk_yes_count +
Europe 1974 4 3
World 1972 3 2
World 1975 8 7
World 1976 9 8
World 1978 11 10
~ Column sg_law_eqrm_wk_yes_pop (changed data)
~ Changed values: 48 / 378 (12.70%)
country year sg_law_eqrm_wk_yes_pop - sg_law_eqrm_wk_yes_pop +
Europe 1974 123385892 118695244
World 1972 70537112 65937310
World 1975 145207798 140468623
World 1976 172060729 167272216
World 1978 230445466 225559733
= Dataset garden/who/2024-09-09/flu_test
= Table flu_test
~ Dim country
+ + New values: 7 / 72382 (0.01%)
date country
2024-08-26 Brazil
2024-09-02 Brazil
2024-09-09 Brazil
2024-09-16 Brazil
2024-11-11 Mexico
- - Removed values: 36 / 72382 (0.05%)
date country
2024-11-18 Ethiopia
2024-11-11 Iraq
2024-11-18 Jamaica
2024-10-21 Uganda
2024-10-28 Uganda
~ Dim date
+ + New values: 7 / 72382 (0.01%)
country date
Brazil 2024-08-26
Brazil 2024-09-02
Brazil 2024-09-09
Brazil 2024-09-16
Mexico 2024-11-11
- - Removed values: 36 / 72382 (0.05%)
country date
Ethiopia 2024-11-18
Iraq 2024-11-11
Jamaica 2024-11-18
Uganda 2024-10-21
Uganda 2024-10-28
~ Column denomcombined (new data, changed data)
+ + New values: 7 / 72382 (0.01%)
country date denomcombined
Brazil 2024-08-26 6810
Brazil 2024-09-02 7056
Brazil 2024-09-09 7321
Brazil 2024-09-16 6452
Mexico 2024-11-11 495
- - Removed values: 36 / 72382 (0.05%)
country date denomcombined
Ethiopia 2024-11-18 152
Iraq 2024-11-11 35
Jamaica 2024-11-18 19
Uganda 2024-10-21 49
Uganda 2024-10-28 68
~ Changed values: 87 / 72382 (0.12%)
country date denomcombined - denomcombined +
Argentina 2024-09-30 166 164
Brazil 2024-11-04 6224 5906
Indonesia 2024-08-12 48 47
Paraguay 2024-05-13 200 201
Paraguay 2024-08-19 328 327
~ Column pcnt_poscombined (new data, changed data)
+ + New values: 7 / 72382 (0.01%)
country date pcnt_poscombined
Brazil 2024-08-26 5.800294
Brazil 2024-09-02 5.782313
Brazil 2024-09-09 6.979921
Brazil 2024-09-16 7.377557
Mexico 2024-11-11 8.686869
- - Removed values: 36 / 72382 (0.05%)
country date pcnt_poscombined
Ethiopia 2024-11-18 18.421053
Iraq 2024-11-11 17.142857
Jamaica 2024-11-18 10.526316
Uganda 2024-10-21 14.285714
Uganda 2024-10-28 8.823529
~ Changed values: 94 / 72382 (0.13%)
country date pcnt_poscombined - pcnt_poscombined +
Argentina 2024-09-30 22.289156 21.95122
Brazil 2024-11-04 7.583548 7.162208
Chile 2024-04-29 45.319149 45.689655
Egypt 2024-09-30 4.118993 4.147465
Jamaica 2024-09-30 1.041667 1.428571
Legend: +New ~Modified -Removed =Identical Details
Hint: Run this locally with etl diff REMOTE data/ --include yourdataset --verbose --snippetAutomatically updated datasets matching weekly_wildfires|excess_mortality|covid|fluid|flunet|country_profile|garden/ihme_gbd/2019/gbd_risk are not included Edited: 2024-12-02 22:07:47 UTC |
6 tasks
This was referenced Dec 2, 2024
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Update HMD dataset + derived datasets.
data://garden/hmd/2023-09-19/hmddata://garden/demography/2023-09-27/survivor_percentiles