The Role of Remote Sensing and Geospatial Analysis for Understanding COVID-19 Population Severity: A Systematic Review

Butros M. Dahu (), Khuder Alaboud, Avis Anya Nowbuth, Hunter M. Puckett, Grant J. Scott and Lincoln R. Sheets
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Butros M. Dahu: Institute for Data Science and Informatics, University of Missouri, Columbia, MO 65211, USA
Khuder Alaboud: Institute for Data Science and Informatics, University of Missouri, Columbia, MO 65211, USA
Avis Anya Nowbuth: Pan African Organization for Health Education and Research (POHER), Manchester, MO 63011, USA
Hunter M. Puckett: Department of Health Management and Informatics, University of Missouri, Columbia, MO 65211, USA
Grant J. Scott: Institute for Data Science and Informatics, University of Missouri, Columbia, MO 65211, USA
Lincoln R. Sheets: Institute for Data Science and Informatics, University of Missouri, Columbia, MO 65211, USA

IJERPH, 2023, vol. 20, issue 5, 1-15

Abstract: Remote sensing (RS), satellite imaging (SI), and geospatial analysis have established themselves as extremely useful and very diverse domains for research associated with space, spatio-temporal components, and geography. We evaluated in this review the existing evidence on the application of those geospatial techniques, tools, and methods in the coronavirus pandemic. We reviewed and retrieved nine research studies that directly used geospatial techniques, remote sensing, or satellite imaging as part of their research analysis. Articles included studies from Europe, Somalia, the USA, Indonesia, Iran, Ecuador, China, and India. Two papers used only satellite imaging data, three papers used remote sensing, three papers used a combination of both satellite imaging and remote sensing. One paper mentioned the use of spatiotemporal data. Many studies used reports from healthcare facilities and geospatial agencies to collect the type of data. The aim of this review was to show the use of remote sensing, satellite imaging, and geospatial data in defining features and relationships that are related to the spread and mortality rate of COVID-19 around the world. This review should ensure that these innovations and technologies are instantly available to assist decision-making and robust scientific research that will improve the population health diseases outcomes around the globe.

Keywords: remote sensing; geospatial; satellite imaging; COVID-19 (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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