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The Role of Remote Sensing and Geospatial Analysis for Understanding COVID-19 Population Severity: A Systematic
Butros M Dahu1,2, Khuder Alaboud1,3, Avis Anya Nowbuth4
1Institute for Data Science and Informatics, University of Missouri, Columbia, MO 65211, USA.
Summary
Remote sensing and satellite imaging offer valuable tools for understanding COVID-19's global spread and mortality. These geospatial techniques aid in critical decision-making for public health research.
Area of Science:
- Environmental Science
- Public Health
- Geospatial Analysis
Background:
- The coronavirus pandemic highlighted the need for advanced analytical tools to track disease spread.
- Geospatial techniques, including remote sensing and satellite imaging, have shown potential in epidemiological research.
Approach:
- This review systematically analyzed nine research studies applying geospatial techniques, remote sensing, or satellite imaging to COVID-19.
- Data sources included satellite imagery, remote sensing data, and reports from healthcare and geospatial agencies.
- Studies covered diverse geographical locations, including Europe, Asia, Africa, and the Americas.
Key Points:
- Geospatial methods were employed to identify patterns and relationships associated with COVID-19 transmission and mortality.
- A combination of satellite imaging and remote sensing data proved effective in several studies.
- Spatiotemporal data analysis was also noted as a relevant approach.
Conclusions:
- Remote sensing, satellite imaging, and geospatial data are crucial for understanding and combating global health crises like COVID-19.
- Integrating these technologies can enhance public health decision-making and scientific research outcomes.
- These innovative tools are vital for improving population health disease outcomes worldwide.
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