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

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 g...

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Bibliographic Details
Published in:International journal of environmental research and public health 2023-02, Vol.20 (5), p.4298
Main Authors: Dahu, Butros M, Alaboud, Khuder, Nowbuth, Avis Anya, Puckett, Hunter M, Scott, Grant J, Sheets, Lincoln R
Format: Article
Language:English
Subjects:
Air pollution
China
Contact tracing
Coronaviruses
COVID-19
Decision making
Disease transmission
Ecuador
Epidemics
Geographic information systems
Geography
Geospatial data
Health care facilities
Humans
India
Indonesia
Infectious diseases
Iran
Medical imaging
Medical research
Outdoor air quality
Pandemics
Remote sensing
Remote Sensing Technology - methods
Reviews
Satellite imagery
Satellite imaging
Satellites
Severe acute respiratory syndrome coronavirus 2
Software
Somalia
Spatial analysis
Spatial data
Syria
Systematic review
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Summary: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.
ISSN:1660-4601
1661-7827
1660-4601
DOI:10.3390/ijerph20054298