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Environmental Public Health Applications Using Remotely Sensed Data.

Mohammad Z Al-Hamdan1, William L Crosson1, Sigrid A Economou2

  • 1Universities Space Research Association, NASA Marshall Space Flight Center, Huntsville, AL, USA.

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This study uses satellite data to analyze air quality and temperature, linking environmental factors to health outcomes like cognitive decline and stroke. Findings will aid public health decision-making.

Keywords:
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Area of Science:

  • Environmental Science
  • Public Health
  • Geographic Information Systems (GIS)

Background:

  • Environmental factors like fine particulate matter (PM2.5), insolation, and land surface temperature are potential contributors to adverse health outcomes.
  • Understanding the relationship between environmental exposures and health is crucial for public health interventions.
  • Existing data sources, including satellite observations and ground-level monitors, offer opportunities for large-scale environmental health research.

Purpose of the Study:

  • To characterize national-scale PM2.5, insolation, and land surface temperature using NASA satellite, EPA, and NLDAS data.
  • To investigate the association between these environmental risk factors and health outcomes, including cognitive decline and stroke, using the REGARDS cohort.
  • To disseminate environmental datasets and health linkage analyses via the CDC WONDER system for public health decision-making.

Main Methods:

  • Utilized NASA satellite observations, EPA ground-level monitor data, and NLDAS data products for national environmental characterization.
  • Linked environmental data with public health data from the REasons for Geographic And Racial Differences in Stroke (REGARDS) national cohort study.
  • Employed GIS-based analyses to integrate and visualize environmental and health data.

Main Results:

  • Characterized national patterns of PM2.5, insolation, and land surface temperature.
  • Identified potential associations between environmental risk factors and cognitive decline, stroke, and other health outcomes (specific results pending full analysis).
  • Developed a framework for disseminating environmental health data to end-users.

Conclusions:

  • Remote sensing and GIS provide valuable tools for assessing environmental health risks on a national scale.
  • Linking environmental exposures with large cohort studies can reveal critical insights into health disparities.
  • Data dissemination through platforms like CDC WONDER is essential for evidence-based public health decision-making and policy development.