IHME
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, prevelance, violence and forecasts for each. The latest IFs data update for this series was in August 2019, covering 189 economies over the years 1990-2017. This data pull is done using Python.
IFs Series
There are currently 146 series that are pulled from the IHME into IFs.
Instructions on Pulling IHME Series
- The data can be accessed from the GBD tool at http://ghdx.healthdata.org/gbd-results-tool. Select "Only countries and territories", "All years", "Cause", "All Ages", "Number", the correct measure (i.e. "Deaths"), "Male" "Female" and "Both", and select all causes. This process might differ depending on the series being pulled in, so just be aware of that.
- Once data is downloaded, a Python script is used to concord and clean the data so it can be pulled into IFs. To do this, you need to have the folder "PythonOutput&Scripts" and "Pythonfiles" in the file path C/Users/Public. WIthin the Pythonfiles folder, you will put the data downloaded from the IHME website in the IHMEDownloads folder, in the respective folder. For example, for Deaths by disease series, you will put the downloaded data in the HistDeathFileData folder.
- Once the data is in the folder, you can run the corresponding Python script. The Python script will pull in the data from the corresponding Excel files, clean it, correspond it to the right IFs series, and concord the countries to the correct country concordance. All you need to do is run the Python script for the series you are trying to pull. For example, for the deaths by diesease series, you will run the DataforIFs-IHME-HistoricalDeathFile.py script.
- Once the script is done running, the completed Excel file will be located in the PythonOutput&Scripts folder.
- Pull in the data into IFs using the IFs data import tool.
Things to Be Aware of While Pulling
For the historical deaths by disease series, the data are in millions in IFs. So you will need to do this conversion before you import.
HealthDetailedDeathsCtry
August 2019 Update
For the 2019 update, we have added historical deaths by disease by sex data for the years 1990-2017. These are new series, as we only had totals and not aggregated by sex.
February 2024 Update
Original Source: VizHub - GBD Results (healthdata.org)
GBD Estimate: Cause of death or injury
Measure: Deaths
Metric: Rate
Cause: Select all level 2 causes (note: “Sense organ disease” is not available for Deaths Rate)
| CauseID | Cause | cause_name | category |
| 1 | Other CD | Other infectious diseases | Communicable, maternal, neonatal, and nutritional diseases |
| 1 | Other CD | Maternal and neonatal disorders | Communicable, maternal, neonatal, and nutritional diseases |
| 1 | Other CD | Nutritional deficiencies | Communicable, maternal, neonatal, and nutritional diseases |
| 2 | Malignant Neoplasms | Neoplasms | Communicable, maternal, neonatal, and nutritional diseases |
| 3 | Cardiac | Cardiovascular diseases | Communicable, maternal, neonatal, and nutritional diseases |
| 4 | Digestive | Digestive diseases | Communicable, maternal, neonatal, and nutritional diseases |
| 5 | Respiratory | Chronic respiratory diseases | Communicable, maternal, neonatal, and nutritional diseases |
| 6 | Other NCD | Neurological disorders | Non-communicable |
| 6 | Other NCD | Substance use disorders | Non-communicable |
| 6 | Other NCD | Skin and subcutaneous diseases | Non-communicable |
| 6 | Other NCD | Sense organ diseases | Non-communicable |
| 6 | Other NCD | Musculoskeletal disorders | Non-communicable |
| 6 | Other NCD | Other non-communicable diseases | Non-communicable |
| 7 | Road Injuries | Transport injuries | Non-communicable |
| 8 | Other Unintentional Injuries | Unintentional injuries | Non-communicable |
| 9 | Intentional Injuries | Self-harm and interpersonal violence | Non-communicable |
| 10 | Diabetes | Diabetes and kidney diseases | Non-communicable |
| 11 | HIV | HIV/AIDS and sexually transmitted infections | Non-communicable |
| 12 | Diarrhea | Enteric infections | Non-communicable |
| 13 | Malaria | Neglected tropical diseases and malaria | Injuries |
| 14 | Respiratory Infection | Respiratory infections and tuberculosis | Injuries |
| 15 | Mental Health | Mental disorders | Injuries |
Location: Select all countries and territories
Age: Select the values in Age_Name
| IHME_Age_ID | Age_Name | Age_IFs |
| 5 | 1 to 4 | p2 |
| 6 | 5 to 9 | p3 |
| 7 | 10 to 14 | p4 |
| 8 | 15 to 19 | p5 |
| 9 | 20 to 24 | p6 |
| 10 | 25 to 29 | p7 |
| 11 | 30 to 34 | p8 |
| 12 | 35 to 39 | p9 |
| 13 | 40 to 44 | p10 |
| 14 | 45 to 49 | p11 |
| 15 | 50 to 54 | p12 |
| 16 | 55 to 59 | p13 |
| 17 | 60 to 64 | p14 |
| 18 | 65 to 69 | p15 |
| 19 | 70 to 74 | p16 |
| 20 | 75 to 79 | p17 |
| 28 | <1 year | p1 |
| 30 | 80 to 84 | p18 |
| 31 | 85 to 89 | p19 |
| 32 | 90 to 94 | p20 |
| 235 | 95 + | p21 |
Sex: Male(1), Female(2)
Year: 2019 (Use the most recent available year.)
The Source Unit is Deaths per 100,000. (IHME_GBD_2019_A3_MEASURE_METRIC_DEFINITIONS_Y2020M10D15.XLSX (live.com) from Global Burden of Disease (GBD) data and tools guide | Institute for Health Metrics and Evaluation (healthdata.org))
Need to use Formula /100 to transform the Unit to Deaths per 1,000.