# C2H2 EAGER: Particles of Peril: Analyzing Mineral Dust Storms and their Health Effects Using Remote Sensing and Machine Learning

> **NSF 01002526DB NSF RESEARCH & RELATED ACTIVIT** · University of Mississippi (MS) · $300,000

## Abstract

Sand and mineral dust storms are natural events where strong winds lift soil particulate matter into the atmosphere. Inhalation of these particles can cause serious respiratory and cardiovascular health effects.  Using Arizona as a testbed, this research develops and tests a novel, experimental approach that combines satellite remote sensing and health data to better understand the health impacts and hospitalization rates related to dust storms. The project involves atmospheric science, public health, and environmental science. This interdisciplinary approach provides a robust framework for understanding and addressing the adverse health impacts of dust storms, such as asthma, Valley Fever, and cardiovascular disease. This work is important because, over the last few decades, there has been increasing dryness in the U.S. Southwest and persistent droughts elsewhere in the nation. This has resulted in more frequent and intense dust being blown into the atmosphere. This research combines hospitalization records with remote sensing and machine learning to determine dust mineral composition and its link to serious health complications. Knowing which minerals are in the dust and which are most harmful helps health professionals predict and mitigate health risks associated with wind-blown dust. Broader impacts of the work include new method-development, improved correlation and understanding of airborne dust-related health issues, and results that can be used in, or applied to, a va

## Key facts

- **NSF award ID:** 2534192
- **Awardee organization:** University of Mississippi (MS)
- **SAM.gov UEI:** G1THVER8BNL4
- **PI:** Thomas Oommen
- **Primary program:** 01002526DB NSF RESEARCH & RELATED ACTIVIT
- **All programs:** Climate and Human Health, EAGER, EXP PROG TO STIM COMP RES
- **Estimated total:** $300,000
- **Funds obligated:** $300,000
- **Transaction type:** Standard Grant
- **Period:** 07/01/2025 → 06/30/2027

## Primary source

NSF Award Search: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2534192

## Citation

> US National Science Foundation, Award 2534192, C2H2 EAGER: Particles of Peril: Analyzing Mineral Dust Storms and their Health Effects Using Remote Sensing and Machine Learning. Retrieved via AI Analytics 2026-06-07 from https://api.ai-analytics.org/grant/nsf/2534192. Licensed CC0.

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