IHME Global Burden of Disease

IHME Global Burden of Disease

MH Specific

India Subnational — Comprehensive disease burden estimates (292 causes, 88 risk factors) for Maharashtra from 1990 to present via the India State-Level Disease Burden Initiative

Build a health priority ranker for Maharashtra identifying diseases causing the highest burden measured in DALYs.
Homepage

Quick Start

# Download from https://vizhub.healthdata.org/gbd-results/
import pandas as pd
df = pd.read_csv('gbd_results.csv')
india = df[df['Location'] == 'India']
print(india.groupby('Cause')['DALYs'].sum().sort_values(ascending=False).head(10))
Modality
Tabular (CSV, interactive)
Size
Subnational, 1990–2023
License
Format
CSV
Language
en
Update Frequency
static
Organization
Institute for Health Metrics and Evaluation

Schema

FieldTypeDescription
locationstringLocation name (country, state, or region)
causestringDisease or injury cause
dalysfloatDisability-adjusted life years
yearintData year

Build With This

Create a health transition tracker showing how Maharashtra's disease burden shifts from infectious to non-communicable diseases
Develop a health investment optimizer allocating resources proportional to disease burden across Maharashtra
Build a comparative health dashboard showing Maharashtra's disease burden against other Indian states and global benchmarks

AI Use Cases

Disease burden forecastingrisk factor modellinghealth intervention prioritisation
Last verified: 2026-03-07