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Access global health indicators, disease surveillance data, mortality statistics, and health system performance metrics from the World Health Organisation. Used in data engineering for global health analytics pipelines, pandemic monitoring systems, SDG health tracking, and building epidemiological dashboards in Python.
WHO's Global Health Observatory API provides JSON endpoints for indicator data. Engineers use `requests` against `ghoapi.azureedge.net` or download CSV files from the WHO data portal. Results include country-year observations for hundreds of health indicators.
WHO data is the authoritative source for building AI health analysis tools. Index WHO indicator time-series for a RAG system that can answer 'Which countries have the highest under-5 mortality rates?' with official global health statistics. WHO disease outbreak reports also train AI epidemic surveillance models.
# pip install requests pandas
import requests, pandas as pd
resp = requests.get(
"https://ghoapi.azureedge.net/api/WHOSIS_000001", # life expectancy
params={"$filter": "SpatialDim eq 'DEU'"}
)
df = pd.DataFrame(resp.json()["value"])[["TimeDim", "NumericValue", "SpatialDim"]]
print(df.sort_values("TimeDim").tail(10))Official dataset source
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