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The Institute for Health Metrics and Evaluation (IHME) provides data on the Global Burdens of Disease that can be accessed here&nbsp;<font style="background-color: rgb(255, 255, 255);">[http://ghdx.healthdata.org/gbd-results-tool http://ghdx.healthdata.org/gbd-results-tool]. IHME provides data on multiple metrics that we pull into IFs, including deaths, DALYs, incidence, prevelance, violence and forecasts for each. The latest IFs data update for this series was in February 2024, covering 188 economies over the years 1990-2019.</font>
The Institute for Health Metrics and Evaluation (IHME) provides data on the Global Burdens of Disease that can be accessed here&nbsp;<font style="background-color: rgb(255, 255, 255);">[http://ghdx.healthdata.org/gbd-results-tool http://ghdx.healthdata.org/gbd-results-tool]. IHME provides data on multiple metrics that we pull into IFs, including deaths, DALYs, incidence, prevalence, violence and forecasts for each. The latest IFs data update for this series was in March 2025, covering 188 economies over the years 198/90-2021. There have been major changes in this update which will be noted below.</font>  
= Instructions on Pulling IHME data =
= Instructions on Pulling IHME data =


=== Preprocessors on Prevalence and Incidence ===
=== Preprocessors on Prevalence and Incidence ===


==== Update in February 2024 ====
==== Update in March 2025 ====
The data can be accessed from the GBD tool at&nbsp;<font style="background-color: rgb(255, 255, 255);">http://ghdx.healthdata.org/gbd-results-tool. You can download the data based on the table below for each series. [https://github.com/shangkexin/The_Institute_for_Health_Metrics_and_Evaluation_IHME Python scripts] used from last data pull can be accessed and adjusted for future data pulls.</font>
The data can be accessed from the GBD tool at <font style="background-color: rgb(255, 255, 255);">http://ghdx.healthdata.org/gbd-results-tool. You can download the data based on the table below for each series. [https://github.com/shangkexin/The_Institute_for_Health_Metrics_and_Evaluation_IHME Python scripts] used from last data pull can be accessed and adjusted for future data pulls. An updated country concordance table can be found [https://1drv.ms/x/c/64a1920f95dbe644/EWHhcKUK3ldEoIgMqLc6O0QB5ylEO7D509sB2273fFWu-g?e=vbtEsa here].</font>  
{| class="wikitable"
{| class="wikitable"
|Variable
|Variable
Line 66: Line 66:
|Deaths
|Deaths
|Rate
|Rate
|Interpersonal violence
|Interpersonal violence against all children death rate
|Select all  countries and territories
|Select all  countries and territories
|0-14
|0-14
Line 79: Line 79:
|Interpersonal  violence
|Interpersonal  violence
|Select all  countries and territories
|Select all  countries and territories
|20 +
|>= 15
|Female
|Female
|Select all
|Select all
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|Select all  countries and territories
|Select all  countries and territories
|All Ages
|All Ages
|Both
|Select all
|
|-
|ViolenceInterpersonOther
|Cause of death or  injury
|Deaths
|Rate
|Death rate from Interpersonal violence for males aged over 15
|Select all  countries and territories
|>= 15
|Both
|Select all
|
|-
|ViolenceInterpersonWomenChild
|Cause of death or  injury
|Deaths
|Rate
|Deaths from interpersonal violence (Violence against women and children)
|Select all  countries and territories
|Sum of Child and WomenAdult
|Both
|Both
|Select all
|Select all
Line 197: Line 219:


* ViolenceInterpersonChild & ViolenceInterpersonWomenAdult have changed a lot, we identify the Age by comparing the trend of old data in IFsHistSeries and the new data from GBD.
* ViolenceInterpersonChild & ViolenceInterpersonWomenAdult have changed a lot, we identify the Age by comparing the trend of old data in IFsHistSeries and the new data from GBD.
** In March 2025, the ages have shifted from >20 for adults to >15. To get this data, do a summation of 15-19 and 20+
* Be aware of the definition of each preprocessor and its unit so that you can find the exact match in the IHME GBD variables.
* Be aware of the definition of each preprocessor and its unit so that you can find the exact match in the IHME GBD variables.
* Some regions in IFs are not provided by IHME yet, we are encouraged to use proxies. For example, use Singapore, Albania, and Mali for Hong Kong, Kosovo, and Sahrawi respectively. Be mindful that for tables with units in rate or percent, proximal values can be directly applied; however, when values are in numbers or headcounts, you will need to borrow the population figures to apply values proportionally.
* Some regions in IFs are not provided by IHME yet, we are encouraged to use proxies. For example, use Singapore, Albania, and Mali for Hong Kong, Kosovo, and Sahrawi respectively. Be mindful that for tables with units in rate or percent, proximal values can be directly applied; however, when values are in numbers or headcounts, you will need to borrow the population figures to apply values proportionally. To do this use SeriesPopulation. For instance, Kosovo’s number of deaths = Albania’s number of deaths * Kosovo’s Population / Albania’s Population.


=== Tables Used in Hist+Forecast Display ===
=== Tables Used in Hist+Forecast Display ===


==== Update in July 2024 ====
==== Update in March 2025 ====
The data can be accessed from the GBD tool at&nbsp;<font style="background-color: rgb(255, 255, 255);">http://ghdx.healthdata.org/gbd-results-tool. You can download the data based on the table below for each series. Note that a detailed death cause mapping table can be found [[IFs.db#HealthDetailedDeathsCtry|here]].</font>
The data can be accessed from the GBD tool at <font style="background-color: rgb(255, 255, 255);">http://ghdx.healthdata.org/gbd-results-tool. You can download the data based on the table below for each series. Note that a detailed death cause mapping table can be found [[IFs.db#HealthDetailedDeathsCtry|here]].</font>


There are 45 tables in total related to detailed death tables in IFs. For each of 15 death causes in IFs, we have a total death table and two tables by sex group. These 45 tables can be searched by using the following naming conventions IHMEDths___, IHMEDths___Females, and IHMEDths___Males, where ___ denotes the cause of death in IFs. These 15 causes are, Cardio, Diabet, Diarrh, Digest, HIV, Intlj, Malar, MalNeopl, MentHlth, OthCD, OthNCD, OthUnintlj, Respinfec, Respiratory, Roadacc.
There are 45 tables in total related to detailed death tables in IFs. For each of 15 death causes in IFs, we have a total death table and two tables by sex group. These 45 tables can be searched by using the following naming conventions IHMEDths___, IHMEDths___Females, and IHMEDths___Males, where ___ denotes the cause of death in IFs. These 15 causes are, Cardio, Diabet, Diarrh, Digest, HIV, Intlj, Malar, MalNeopl, MentHlth, OthCD, OthNCD, OthUnintlj, Respinfec, Respiratory, Roadacc. Below is the causes used for each table:
{| class="wikitable"
|Table
|Name in Source
|-
|IHMEDthsCardio
|Cardiovascular diseases
|-
|IHMEDthsCardioFemales
|Cardiovascular diseases
|-
|IHMEDthsCardioMales
|Cardiovascular diseases
|-
|IHMEDthsDiabet
|Diabetes mellitus
|-
|IHMEDthsDiabetFemales
|Diabetes mellitus
|-
|IHMEDthsDiabetMales
|Diabetes mellitus
|-
|IHMEDthsDiarrh
|Diarrheal diseases
|-
|IHMEDthsDiarrhFemales
|Diarrheal diseases
|-
|IHMEDthsDiarrhMales
|Diarrheal diseases
|-
|IHMEDthsDigest
|Digestive diseases
|-
|IHMEDthsDigestFemales
|Digestive diseases
|-
|IHMEDthsDigestMales
|Digestive diseases
|-
|IHMEDthsHIV
|HIV/AIDS
|-
|IHMEDthsHIVFemales
|HIV/AIDS
|-
|IHMEDthsHIVMales
|HIV/AIDS
|-
|IHMEDthsIntIj
|Self-harm and interpersonal violence
|-
|IHMEDthsIntIjFemales
|Self-harm and interpersonal violence
|-
|IHMEDthsIntIjMales
|Self-harm and interpersonal violence
|-
|IHMEDthsMalar
|Malaria
|-
|IHMEDthsMalarFemales
|Malaria
|-
|IHMEDthsMalarMales
|Malaria
|-
|IHMEDthsMalNeopl
|Neoplasms
|-
|IHMEDthsMalNeoplFemales
|Neoplasms
|-
|IHMEDthsMalNeoplMales
|Neoplasms
|-
|IHMEDthsMentHlth
|Neurological disorders + Mental disorders + Substance use disorders
|-
|IHMEDthsMentHlthFemales
|Neurological disorders + Mental disorders + Substance use disorders
|-
|IHMEDthsMentHlthMales
|Neurological disorders + Mental disorders + Substance use disorders
|-
|IHMEDthsOthCD
|Communicable, maternal, neonatal, and nutritional diseases, excluding  individual causes in IFs
|-
|IHMEDthsOthCDFemales
|Communicable, maternal, neonatal, and nutritional diseases, excluding  individual causes in IFs
|-
|IHMEDthsOthCDMales
|Communicable, maternal, neonatal, and nutritional diseases, excluding  individual causes in IFs
|-
|IHMEDthsOthNCD
|Non-communicable diseases, excluding individual causes in IFs
|-
|IHMEDthsOthNCDFemales
|Non-communicable diseases, excluding individual causes in IFs
|-
|IHMEDthsOthNCDMales
|Non-communicable diseases, excluding individual causes in IFs
|-
|IHMEDthsOthUnintIj
|Unintentional injuries
|-
|IHMEDthsOthUnintIjFemales
|Unintentional injuries
|-
|IHMEDthsOthUnintIjMales
|Unintentional injuries
|-
|IHMEDthsRespinfec
|Lower respiratory infections + Upper respiratory infections + Otitis  media + COVID-19 + Other COVID-19 pandemic-related outcomes
|-
|IHMEDthsRespinfecFemales
|Lower respiratory infections + Upper respiratory infections + Otitis  media + COVID-19 + Other COVID-19 pandemic-related outcomes
|-
|IHMEDthsRespinfecMales
|Lower respiratory infections + Upper respiratory infections + Otitis  media + COVID-19 + Other COVID-19 pandemic-related outcomes
|-
|IHMEDthsRespiratory
|Chronic respiratory diseases
|-
|IHMEDthsRespiratoryFemales
|Chronic respiratory diseases
|-
|IHMEDthsRespiratoryMales
|Chronic respiratory diseases
|-
|IHMEDthsRoadacc
|Transport injuries
|-
|IHMEDthsRoadaccFemales
|Transport injuries
|-
|IHMEDthsRoadaccMales
|Transport injuries
|}


= Demographic Related IHME Preprocessors =
= Demographic Related IHME Preprocessors =


=== Life Expectancy ===
=== Life Expectancy ===
Life expectancy data can be pulled from https://ghdx.healthdata.org/record/ihme-data/gbd-2019-life-tables-1950-2019. Just download Life Tables: Age < 1 year and use the IHME_GBD_2019_LIFE_TABLES_1950_2019_ID_28_NOSHOCK_Y2020M07D31.CSV (28 means "Age Group < 1 year").
Life expectancy data can be pulled from <font style="background-color: rgb(255, 255, 255);">http://ghdx.healthdata.org/gbd-results-tool. The filters should be:</font>
 
GBD Estimate All-cause mortality
 
Measure LE
 
Metric Years
 
Location All territories and countries
 
Age 0-6 days
 
Sex Both, Male, Female
 
Year All
{| class="wikitable"
{| class="wikitable"
|Variable
|Variable
Line 220: Line 396:
|-
|-
|LifeExpectIHMEBothSexesHistOnly
|LifeExpectIHMEBothSexesHistOnly
|< 1 year
|0-6 days
|Both
|Both
|1950-2019
|1950-2021
|Years
|Years
|3
|3
|-
|-
|LifeExpectIHMEMaleHistOnly
|LifeExpectIHMEMaleHistOnly
|< 1 year
|0-6 days
|Male
|Male
|1950-2019
|1950-2021
|Years
|Years
|3
|3
|-
|-
|LifeExpectIHMEFemaleHistOnly
|LifeExpectIHMEFemaleHistOnly
|< 1 year
|0-6 days
|Female
|Female
|1950-2019
|1950-2021
|Years
|Years
|3
|3
Line 242: Line 418:


=== Infant Mortality ===
=== Infant Mortality ===
Life expectancy data can be pulled from two different sources depending on the series. You can download the data by age group.
Life expectancy data can be pulled from <font style="background-color: rgb(255, 255, 255);">http://ghdx.healthdata.org/gbd-results-tool</font>. The filters should be:
 
GBD Estimate All-cause mortality
 
Measure Life Tables
 
Metric Years
 
Location All territories and countries
 
Age Stated below
 
Sex Both
 
Year All
{| class="wikitable"
{| class="wikitable"
|Variable
|Variable
Line 249: Line 439:
|Year
|Year
|Decimal Places
|Decimal Places
|Source
|-
|-
|InfMortRateIHME
|InfMortRateIHME
|Summation of neonatal, 1-5 month, and 6-11 month
|< 1 year
|Both
|Both
|1950-2019
|1950-2021
|4
|4
|https://ghdx.healthdata.org/record/ihme-data/global-burden-disease-study-2019-gbd-2019-under-5-mortality-detailed-age-groups-1950-2019
|-
|-
|Under5MortRateIHME
|Under5MortRateIHME
|Under 5
|Summation of < 1 year and 2-4 year
|Both
|Both
|1950-2019
|1950-2021
|4
|4
|https://ghdx.healthdata.org/record/ihme-data/gbd-2019-mortality-estimates-1950-2019
|}
|}
Note: InfMortRateIHME must be manually added together, the data can only be downloaded by separate age groups.
Note:Under5MortRateIHME must be manually added together, the data can only be downloaded by separate age groups.


= Tables in IFs.db =
= Tables in IFs.db =

Revision as of 11:49, 11 March 2025

The Institute for Health Metrics and Evaluation (IHME) provides data on the Global Burdens of Disease that can be accessed here http://ghdx.healthdata.org/gbd-results-tool. IHME provides data on multiple metrics that we pull into IFs, including deaths, DALYs, incidence, prevalence, violence and forecasts for each. The latest IFs data update for this series was in March 2025, covering 188 economies over the years 198/90-2021. There have been major changes in this update which will be noted below.

Instructions on Pulling IHME data

Preprocessors on Prevalence and Incidence

Update in March 2025

The data can be accessed from the GBD tool at http://ghdx.healthdata.org/gbd-results-tool. You can download the data based on the table below for each series. Python scripts used from last data pull can be accessed and adjusted for future data pulls. An updated country concordance table can be found here.

Variable GBD Estimate Measure Metric Cause Location Age Sex Year Decimal Places
ViolencePoliticalConflictTerror Cause of death or injury Deaths Rate Conflict and terrorism Select all countries and territories All Ages Both Select all 4
ViolencePoliticalPoliceExecution Cause of death or injury Deaths Rate Executions and police conflict Select all countries and territories All Ages Both Select all 4
ViolenceSelfHarm Cause of death or injury Deaths Rate Self-harm Select all countries and territories All Ages Both Select all 4
SocietalViolenceDeathsTotal Cause of death or injury Deaths Rate Interpersonal violence + Conflict and terrorism + Executions and police conflict Select all countries and territories All Ages Both Select all 4
ViolenceInterpersonChild Cause of death or injury Deaths Rate Interpersonal violence against all children death rate Select all countries and territories 0-14 Both Select all 4
ViolenceInterpersonWomenAdult Cause of death or injury Deaths Rate Interpersonal violence Select all countries and territories >= 15 Female Select all 4
DrOpiodPrevIHME Cause of death or injury Prevalence Percent Opioid Use Disorders Select all countries and territories All Ages Both Select all 4
DrugPrevalenceAmphetaminesIHME Cause of death or injury Prevalence Percent Amphetamine Use Disorders Select all countries and territories All Ages Both Select all 5
DrugPrevalenceCocaineIHME Cause of death or injury Prevalence Percent Cocaine Use Disorders Select all countries and territories All Ages Both Select all 5
IHMEDthsHIV Cause of death or injury Deaths Number HIV/AIDs Select all countries and territories All Ages Both Select all 5
IHMEDthsMalar Cause of death or injury Deaths Number Malaria Select all countries and territories All Ages Both Select all 5
IHMEInciHIVNumber Cause of death or injury Incidence Number HIV/AIDs Select all countries and territories All Ages Both Select all
IHMEInciMalariaNumber Cause of death or injury Incidence Number Malaria Select all countries and territories All Ages Both Select all
IHMEPrevHIV Cause of death or injury Prevalence Percent HIV/AIDs Select all countries and territories All Ages Both Select all 3
IHMEPrevHIVNumber Cause of death or injury Prevalence Number HIV/AIDs Select all countries and territories All Ages Both Select all
IHMEPrevMalariaNumber Cause of death or injury Prevalence Number Malaria Select all countries and territories All Ages Both Select all
ViolenceInterpersonOther Cause of death or injury Deaths Rate Death rate from Interpersonal violence for males aged over 15 Select all countries and territories >= 15 Both Select all
ViolenceInterpersonWomenChild Cause of death or injury Deaths Rate Deaths from interpersonal violence (Violence against women and children) Select all countries and territories Sum of Child and WomenAdult Both Select all

Note:

  • ViolenceInterpersonChild & ViolenceInterpersonWomenAdult have changed a lot, we identify the Age by comparing the trend of old data in IFsHistSeries and the new data from GBD.
    • In March 2025, the ages have shifted from >20 for adults to >15. To get this data, do a summation of 15-19 and 20+
  • Be aware of the definition of each preprocessor and its unit so that you can find the exact match in the IHME GBD variables.
  • Some regions in IFs are not provided by IHME yet, we are encouraged to use proxies. For example, use Singapore, Albania, and Mali for Hong Kong, Kosovo, and Sahrawi respectively. Be mindful that for tables with units in rate or percent, proximal values can be directly applied; however, when values are in numbers or headcounts, you will need to borrow the population figures to apply values proportionally. To do this use SeriesPopulation. For instance, Kosovo’s number of deaths = Albania’s number of deaths * Kosovo’s Population / Albania’s Population.

Tables Used in Hist+Forecast Display

Update in March 2025

The data can be accessed from the GBD tool at http://ghdx.healthdata.org/gbd-results-tool. You can download the data based on the table below for each series. Note that a detailed death cause mapping table can be found here.

There are 45 tables in total related to detailed death tables in IFs. For each of 15 death causes in IFs, we have a total death table and two tables by sex group. These 45 tables can be searched by using the following naming conventions IHMEDths___, IHMEDths___Females, and IHMEDths___Males, where ___ denotes the cause of death in IFs. These 15 causes are, Cardio, Diabet, Diarrh, Digest, HIV, Intlj, Malar, MalNeopl, MentHlth, OthCD, OthNCD, OthUnintlj, Respinfec, Respiratory, Roadacc. Below is the causes used for each table:

Table Name in Source
IHMEDthsCardio Cardiovascular diseases
IHMEDthsCardioFemales Cardiovascular diseases
IHMEDthsCardioMales Cardiovascular diseases
IHMEDthsDiabet Diabetes mellitus
IHMEDthsDiabetFemales Diabetes mellitus
IHMEDthsDiabetMales Diabetes mellitus
IHMEDthsDiarrh Diarrheal diseases
IHMEDthsDiarrhFemales Diarrheal diseases
IHMEDthsDiarrhMales Diarrheal diseases
IHMEDthsDigest Digestive diseases
IHMEDthsDigestFemales Digestive diseases
IHMEDthsDigestMales Digestive diseases
IHMEDthsHIV HIV/AIDS
IHMEDthsHIVFemales HIV/AIDS
IHMEDthsHIVMales HIV/AIDS
IHMEDthsIntIj Self-harm and interpersonal violence
IHMEDthsIntIjFemales Self-harm and interpersonal violence
IHMEDthsIntIjMales Self-harm and interpersonal violence
IHMEDthsMalar Malaria
IHMEDthsMalarFemales Malaria
IHMEDthsMalarMales Malaria
IHMEDthsMalNeopl Neoplasms
IHMEDthsMalNeoplFemales Neoplasms
IHMEDthsMalNeoplMales Neoplasms
IHMEDthsMentHlth Neurological disorders + Mental disorders + Substance use disorders
IHMEDthsMentHlthFemales Neurological disorders + Mental disorders + Substance use disorders
IHMEDthsMentHlthMales Neurological disorders + Mental disorders + Substance use disorders
IHMEDthsOthCD Communicable, maternal, neonatal, and nutritional diseases, excluding individual causes in IFs
IHMEDthsOthCDFemales Communicable, maternal, neonatal, and nutritional diseases, excluding individual causes in IFs
IHMEDthsOthCDMales Communicable, maternal, neonatal, and nutritional diseases, excluding individual causes in IFs
IHMEDthsOthNCD Non-communicable diseases, excluding individual causes in IFs
IHMEDthsOthNCDFemales Non-communicable diseases, excluding individual causes in IFs
IHMEDthsOthNCDMales Non-communicable diseases, excluding individual causes in IFs
IHMEDthsOthUnintIj Unintentional injuries
IHMEDthsOthUnintIjFemales Unintentional injuries
IHMEDthsOthUnintIjMales Unintentional injuries
IHMEDthsRespinfec Lower respiratory infections + Upper respiratory infections + Otitis media + COVID-19 + Other COVID-19 pandemic-related outcomes
IHMEDthsRespinfecFemales Lower respiratory infections + Upper respiratory infections + Otitis media + COVID-19 + Other COVID-19 pandemic-related outcomes
IHMEDthsRespinfecMales Lower respiratory infections + Upper respiratory infections + Otitis media + COVID-19 + Other COVID-19 pandemic-related outcomes
IHMEDthsRespiratory Chronic respiratory diseases
IHMEDthsRespiratoryFemales Chronic respiratory diseases
IHMEDthsRespiratoryMales Chronic respiratory diseases
IHMEDthsRoadacc Transport injuries
IHMEDthsRoadaccFemales Transport injuries
IHMEDthsRoadaccMales Transport injuries

Demographic Related IHME Preprocessors

Life Expectancy

Life expectancy data can be pulled from http://ghdx.healthdata.org/gbd-results-tool. The filters should be:

GBD Estimate All-cause mortality

Measure LE

Metric Years

Location All territories and countries

Age 0-6 days

Sex Both, Male, Female

Year All

Variable Age Sex Year Metric Name Decimal Places
LifeExpectIHMEBothSexesHistOnly 0-6 days Both 1950-2021 Years 3
LifeExpectIHMEMaleHistOnly 0-6 days Male 1950-2021 Years 3
LifeExpectIHMEFemaleHistOnly 0-6 days Female 1950-2021 Years 3

Infant Mortality

Life expectancy data can be pulled from http://ghdx.healthdata.org/gbd-results-tool. The filters should be:

GBD Estimate All-cause mortality

Measure Life Tables

Metric Years

Location All territories and countries

Age Stated below

Sex Both

Year All

Variable Age Sex Year Decimal Places
InfMortRateIHME < 1 year Both 1950-2021 4
Under5MortRateIHME Summation of < 1 year and 2-4 year Both 1950-2021 4

Note:Under5MortRateIHME must be manually added together, the data can only be downloaded by separate age groups.

Tables in IFs.db

HealthDetailedDeathsCtry

Detailed instruction on pulling number of deaths for IFs death categories can be found here.