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The WHO Global Health Observatory offers datasets on a wide range of health-related indicators, including disease prevalence, mortality rates, healthcare access and more.
The WHO GHO provides a REST API and bulk CSV downloads. Engineers use `requests` against `ghoapi.azureedge.net` with indicator codes and country filters. The `who-gho` Python client simplifies authentication-free API access for health indicator time-series.
WHO GHO data builds authoritative health AI knowledge bases. Index all 1,000+ indicators for a RAG system that answers any global health question with official WHO data. AI health analytics models use GHO time-series to predict country health system performance and identify intervention priorities.
# pip install requests pandas
import requests, pandas as pd
# Life expectancy at birth for all countries (latest)
resp = requests.get("https://ghoapi.azureedge.net/api/WHOSIS_000001",
params={"$filter": "Dim1 eq 'BTSX' and TimeDim eq 2022"})
df = pd.DataFrame(resp.json()["value"])[["SpatialDim", "NumericValue"]]
df.columns = ["country", "life_expectancy"]
print(df.nlargest(10, "life_expectancy"))Official dataset source
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