Global health burden signals (obesity trends, PM2.5 exposure, anomalies)
Annual ML-enriched population-health signals for ~190 territories, derived from WHO Global Health Observatory data: adult obesity prevalence by sex, the 5-year obesity trend, annual mean PM2.5 concentration and the PM2.5 exceedance multiple versus the WHO 15 µg/m³ guideline, with 30-period change volatility, 3-year momentum, 3-sigma anomaly flags versus a trailing 10-year baseline, naive-drift 1-year forecasts, and a per-year cross-country volatility rank. Raw data: World Health Organization (non-commercial). All rows carry ISO alpha-3 country_code and join cleanly with other health datasets.
Quality
Attribution
World Health Organization (Global Health Observatory; derived signals by Frontier Data Hub)
Schema
| Column | Type | Description |
|---|---|---|
| date | string | Reference year (January 1) of the WHO GHO annual estimate. |
| country | string | |
| country_code | string | |
| series_id | string | Signal code: OBESITY_ALL / OBESITY_FEMALE / OBESITY_MALE (adult obesity prevalence by sex), OBESITY_TREND_5Y (5-year pp change), PM25_MEAN (annual mean PM2.5), PM25_WHO_EXCEED (PM2.5 / WHO 15 µg/m³ guideline). |
| series_label | string | Human-readable label for the signal series, derived from the WHO GHO indicator names. |
| value | float | Signal value in native units: percent for the obesity series; percentage points for OBESITY_TREND_5Y; µg/m³ for PM25_MEAN; a multiple of the WHO guideline for PM25_WHO_EXCEED. |
| volatility_30d | float | |
| momentum_3m | float | |
| anomaly_flag | integer | |
| forecast_1m | float | |
| rank | integer |
Sample rows
| date | country | country_code | series_id | series_label | value | volatility_30d | momentum_3m | anomaly_flag | forecast_1m | rank |
|---|---|---|---|---|---|---|---|---|---|---|
| 1980-01-01 | Afghanistan | AFG | OBESITY_ALL | Adult obesity prevalence, both sexes, % | 0.97484551 | — | — | 0 | — | — |
| 1980-01-01 | Angola | AGO | OBESITY_ALL | Adult obesity prevalence, both sexes, % | 1.7267242 | — | — | 0 | — | — |
| 1980-01-01 | Albania | ALB | OBESITY_ALL | Adult obesity prevalence, both sexes, % | 10.364953 | — | — | 0 | — | — |
| 1980-01-01 | Andorra | AND | OBESITY_ALL | Adult obesity prevalence, both sexes, % | 10.086311 | — | — | 0 | — | — |
| 1980-01-01 | United Arab Emirates | ARE | OBESITY_ALL | Adult obesity prevalence, both sexes, % | 12.776726 | — | — | 0 | — | — |
Download sample data
Download the full sample snapshot for this dataset (sample rows, not the complete dataset).
Use with an LLM
Point any LLM at the metadata endpoint — the documentation above is machine-readable too (JSON-LD + Croissant).
cURL
curl "https://datazimuts.com/v1/datasets/health_signals/global_health_burden_signals" | jq '{title, rows, columns_count, license}'Python
import requests
ds = requests.get("https://datazimuts.com/v1/datasets/health_signals/global_health_burden_signals").json()
print(ds["title"], ds["rows"], "rows")
# Sample rows for an LLM context window
for row in ds.get("sample_rows", [])[:5]:
print(row)API endpoint: https://datazimuts.com/v1/datasets/health_signals/global_health_burden_signals
Tip: fetch /llms.txt for the full machine-readable catalog.