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2024 | OriginalPaper | Chapter

Satellite Image Analysis in Health Care—A Systematic Review

Authors : Bhushan Pawar, Vijay Prakash, Lalit Garg, Charles Galdies, Sandra Buttigieg, Neville Calleja

Published in: Advances in Data-Driven Computing and Intelligent Systems

Publisher: Springer Nature Singapore

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Abstract

The chapter presents a systematic review of satellite image analysis in healthcare, demonstrating the potent resource satellite data offers in understanding the intricate correlation between environmental factors and health outcomes. Researchers have employed diverse methodologies, such as predictive modeling, logistic regression, and spatial-temporal analysis, to examine health-related topics like disease modeling, risk assessment, and environmental health. Studies across Africa, Asia, and the Americas have utilized satellite imagery from sources like Landsat, MODIS, and SPOT to predict disease patterns, identify hotspots, and inform public health interventions. Notably, the integration of satellite data with advanced analytical methods has enhanced disease prediction and understanding of transmission dynamics, showcasing the significant potential of these technologies in transforming global public health efforts.

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Literature
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Metadata
Title
Satellite Image Analysis in Health Care—A Systematic Review
Authors
Bhushan Pawar
Vijay Prakash
Lalit Garg
Charles Galdies
Sandra Buttigieg
Neville Calleja
Copyright Year
2024
Publisher
Springer Nature Singapore
DOI
https://doi.org/10.1007/978-981-99-9521-9_18