Environmental health cohort explorer
Site-level environmental exposure data and vasus.ai insight, overlaid onto a cardiovascular sensitivity cohort across four Dutch cities.
| Subject ID | Sex | Age | Site | PM2.5 mean (µg/m³) | WHO exceedance days | Environmental risk |
|---|---|---|---|---|---|---|
| CV-0091 | M | 67 | Utrecht | 12.1 | 8 | Moderate |
| CV-0134 | F | 71 | Amsterdam | 16.3 | 14 | High |
| CV-0287 | M | 59 | Rotterdam | 14.7 | 11 | Moderate |
| CV-0412 | F | 64 | Den Haag | 11.2 | 6 | Low |
| CV-0588 | M | 73 | Utrecht | 13.8 | 9 | Moderate |
Cardiovascular sensitivity for Utrecht is moderately elevated, driven by repeated PM2.5 exceedance days clustered in late February. Pressure volatility events also tracked above baseline.
Three consecutive days of PM2.5 above 25 µg/m³ correlates with a measurable rise in CV event rate in retrospective cohorts. The Utrecht site exceeded this threshold twice in the window.
Include as a covariate in next-stage CV model. Flag late-Feb cluster for case-control comparison.
POST /v1/insight
{"profile": {"sensitivities": ["cardiovascular"]},
"location": {"city": "Utrecht"},
"exposure_window_hours": 2160,
"mode": "agentic"} Amsterdam shows the highest PM2.5 burden in the cohort — 18 WHO exceedance days over the 90-day window. Burden trajectory has been rising week-over-week.
PM2.5 above 35 µg/m³ for >48h is associated with vascular inflammation and elevated CV event rate in cohorts with pre-existing risk. Three such windows occurred in this period.
Stratify CV outcome analysis by Amsterdam vs other sites. Consider as high-exposure arm for case-control framing.
POST /v1/insight
{"profile": {"sensitivities": ["cardiovascular"]},
"location": {"city": "Amsterdam"},
"exposure_window_hours": 2160,
"mode": "agentic"} Rotterdam sits mid-range on PM2.5 burden. Port activity contributes to episodic spikes but 90-day mean remains below the EU annual guideline.
Episodic PM2.5 peaks above 25 µg/m³ drive short-term cardiovascular risk even when the long-term mean is acceptable.
Track episodic spikes separately from chronic burden. Weekly peak analysis will reveal patterns masked by mean values.
POST /v1/insight
{"profile": {"sensitivities": ["cardiovascular"]},
"location": {"city": "Rotterdam"},
"exposure_window_hours": 2160,
"mode": "agentic"} Den Haag shows the lowest PM2.5 burden in the cohort — predominantly coastal winds are dispersing pollutants effectively across this window.
Coastal sites benefit from sea-breeze ventilation that reduces PM2.5 accumulation. Six exceedance days represent the low end of the cohort distribution.
Use as the reference arm in within-cohort comparative analysis.
POST /v1/insight
{"profile": {"sensitivities": ["cardiovascular"]},
"location": {"city": "Den Haag"},
"exposure_window_hours": 2160,
"mode": "agentic"} Environmental exposure as a study variable.
Add environmental health intelligence to longitudinal studies without adding environmental monitoring infrastructure. vasus.ai returns site-level PM2.5, pollen, temperature and pressure data for any location — cited, time-windowed, and ready to use as a covariate or exposure variable.
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