Cargando…
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...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10002247/ https://www.ncbi.nlm.nih.gov/pubmed/36901308 http://dx.doi.org/10.3390/ijerph20054298 |
_version_ | 1784904343704567808 |
---|---|
author | Dahu, Butros M. Alaboud, Khuder Nowbuth, Avis Anya Puckett, Hunter M. Scott, Grant J. Sheets, Lincoln R. |
author_facet | Dahu, Butros M. Alaboud, Khuder Nowbuth, Avis Anya Puckett, Hunter M. Scott, Grant J. Sheets, Lincoln R. |
author_sort | Dahu, Butros M. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-10002247 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-100022472023-03-11 The Role of Remote Sensing and Geospatial Analysis for Understanding COVID-19 Population Severity: A Systematic Review Dahu, Butros M. Alaboud, Khuder Nowbuth, Avis Anya Puckett, Hunter M. Scott, Grant J. Sheets, Lincoln R. Int J Environ Res Public Health Article 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. MDPI 2023-02-28 /pmc/articles/PMC10002247/ /pubmed/36901308 http://dx.doi.org/10.3390/ijerph20054298 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Dahu, Butros M. Alaboud, Khuder Nowbuth, Avis Anya Puckett, Hunter M. Scott, Grant J. Sheets, Lincoln R. The Role of Remote Sensing and Geospatial Analysis for Understanding COVID-19 Population Severity: A Systematic Review |
title | The Role of Remote Sensing and Geospatial Analysis for Understanding COVID-19 Population Severity: A Systematic Review |
title_full | The Role of Remote Sensing and Geospatial Analysis for Understanding COVID-19 Population Severity: A Systematic Review |
title_fullStr | The Role of Remote Sensing and Geospatial Analysis for Understanding COVID-19 Population Severity: A Systematic Review |
title_full_unstemmed | The Role of Remote Sensing and Geospatial Analysis for Understanding COVID-19 Population Severity: A Systematic Review |
title_short | The Role of Remote Sensing and Geospatial Analysis for Understanding COVID-19 Population Severity: A Systematic Review |
title_sort | role of remote sensing and geospatial analysis for understanding covid-19 population severity: a systematic review |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10002247/ https://www.ncbi.nlm.nih.gov/pubmed/36901308 http://dx.doi.org/10.3390/ijerph20054298 |
work_keys_str_mv | AT dahubutrosm theroleofremotesensingandgeospatialanalysisforunderstandingcovid19populationseverityasystematicreview AT alaboudkhuder theroleofremotesensingandgeospatialanalysisforunderstandingcovid19populationseverityasystematicreview AT nowbuthavisanya theroleofremotesensingandgeospatialanalysisforunderstandingcovid19populationseverityasystematicreview AT pucketthunterm theroleofremotesensingandgeospatialanalysisforunderstandingcovid19populationseverityasystematicreview AT scottgrantj theroleofremotesensingandgeospatialanalysisforunderstandingcovid19populationseverityasystematicreview AT sheetslincolnr theroleofremotesensingandgeospatialanalysisforunderstandingcovid19populationseverityasystematicreview AT dahubutrosm roleofremotesensingandgeospatialanalysisforunderstandingcovid19populationseverityasystematicreview AT alaboudkhuder roleofremotesensingandgeospatialanalysisforunderstandingcovid19populationseverityasystematicreview AT nowbuthavisanya roleofremotesensingandgeospatialanalysisforunderstandingcovid19populationseverityasystematicreview AT pucketthunterm roleofremotesensingandgeospatialanalysisforunderstandingcovid19populationseverityasystematicreview AT scottgrantj roleofremotesensingandgeospatialanalysisforunderstandingcovid19populationseverityasystematicreview AT sheetslincolnr roleofremotesensingandgeospatialanalysisforunderstandingcovid19populationseverityasystematicreview |