0 Counties · 0M Residents

Cardiorespiratory Environmental Health Analytics

Academic-grade epidemiology platform computing OLS regression, population attributable risk, and counterfactual policy simulations across all U.S. counties.

Attr. Deaths

Health Deserts

0.00

PM2.5 r

High Risk (≥70)

No specific county selected on map — showing national aggregate data (0 counties). Select any county on the map to filter analytics.

Research Modules

Tap any category below to view full-screen popover analytics

4 Modules

🌐 NATIONAL DATASET

Nationwide Health Impact computes stats across all 0 U.S. counties.

Select a county on the map to highlight its values.

Lives Saved by EPA Standard

Annually if PM2.5 capped at 9.0 µg/m³ across 0 counties

Chronic Disease Events Prevented

COPD + asthma exacerbations avoided per year under baseline policy scenario

Healthcare Cost Savings

$0M

Estimated annual economic savings from reduced hospitalizations and ER visits

PM2.5-Attributable Deaths

0% of all respiratory mortality annually above WHO 5 µg/m³ baseline

PM2.5 Exposure Distribution

County-level PM2.5 exposure across 0 U.S. counties. EPA standard: 9.0 µg/m³.

PM2.5 → Respiratory Mortality

OLS regression across 0 counties.

r = 0.000

R² = 0.000

p < 0.001

Rural Mortality Gradient (RUCC)

RUCC 1 = Metro ≥1M pop → RUCC 9 = Completely rural. Rural counties show systematically higher mortality.

Key Research Findings

Empirical conclusions derived from this dataset of 0 U.S. counties.

PM2.5 → Mortality: r = 0.00, R² = 0.000

For every 1 µg/m³ increase in average PM2.5, respiratory mortality increases by 0.00 deaths/100k (p < 0.001, N=0).

0% of respiratory deaths attributable to excess PM2.5

Estimated 0 deaths annually above the WHO 5 µg/m³ baseline — deaths that could be prevented by clean air policy.

0 counties in "Double Burden" classification

Counties with both above-median PM2.5 AND below-median physician density, creating compounded vulnerability with no protective health buffer.

Rural counties (RUCC 7–9) show highest mortality rates

Remote rural counties have systematically higher respiratory mortality despite lower population density — suggesting that lack of healthcare access amplifies pollution impact.

0 Counties · 0M Residents

Cardiorespiratory Environmental Health Analytics

Academic-grade epidemiology platform computing OLS regression, population attributable risk, and counterfactual policy simulations across all U.S. counties.

Attr. Deaths

Health Deserts

0.00

PM2.5 r

High Risk (≥70)

No specific county selected on map — showing national aggregate data (0 counties). Select any county on the map to filter analytics.

Research Modules

Tap any category below to view full-screen popover analytics

4 Modules

🌐 NATIONAL DATASET

Nationwide Health Impact computes stats across all 0 U.S. counties.

Select a county on the map to highlight its values.

Lives Saved by EPA Standard

Annually if PM2.5 capped at 9.0 µg/m³ across 0 counties

Chronic Disease Events Prevented

COPD + asthma exacerbations avoided per year under baseline policy scenario

Healthcare Cost Savings

$0M

Estimated annual economic savings from reduced hospitalizations and ER visits

PM2.5-Attributable Deaths

0% of all respiratory mortality annually above WHO 5 µg/m³ baseline

PM2.5 Exposure Distribution

County-level PM2.5 exposure across 0 U.S. counties. EPA standard: 9.0 µg/m³.

PM2.5 → Respiratory Mortality

OLS regression across 0 counties.

r = 0.000

R² = 0.000

p < 0.001

Rural Mortality Gradient (RUCC)

RUCC 1 = Metro ≥1M pop → RUCC 9 = Completely rural. Rural counties show systematically higher mortality.

Key Research Findings

Empirical conclusions derived from this dataset of 0 U.S. counties.

PM2.5 → Mortality: r = 0.00, R² = 0.000

For every 1 µg/m³ increase in average PM2.5, respiratory mortality increases by 0.00 deaths/100k (p < 0.001, N=0).

0% of respiratory deaths attributable to excess PM2.5

Estimated 0 deaths annually above the WHO 5 µg/m³ baseline — deaths that could be prevented by clean air policy.

0 counties in "Double Burden" classification

Counties with both above-median PM2.5 AND below-median physician density, creating compounded vulnerability with no protective health buffer.

Rural counties (RUCC 7–9) show highest mortality rates

Remote rural counties have systematically higher respiratory mortality despite lower population density — suggesting that lack of healthcare access amplifies pollution impact.

US-SEER

Cardiorespiratory Environmental Health Analytics

Research Modules

PM2.5 Exposure Distribution

PM2.5 → Respiratory Mortality

Rural Mortality Gradient (RUCC)

Key Research Findings

US-SEER

Cardiorespiratory Environmental Health Analytics

Research Modules

PM2.5 Exposure Distribution

PM2.5 → Respiratory Mortality

Rural Mortality Gradient (RUCC)

Key Research Findings