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

1. 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.
2. 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.
3. 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.
4. Once the script is done running, the completed Excel file will be located in the PythonOutput&Scripts folder.
5. 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.

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.

HealthDetailedDeathsCtry

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.