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Ten GIS-Based Solutions for Managing and Controlling COVID-19 Pandemic Outbreak
The coronavirus (COVID-19) pandemic has caused disastrous results in most countries of the world. It has rapidly spread across the globe with over 156 million cumulative confirmed cases and 3.264 million deaths to date, according to World Health Organization (WHO) Coronavirus Disease (COVID-19) Dash...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Nature Singapore
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9069122/ https://www.ncbi.nlm.nih.gov/pubmed/35531569 http://dx.doi.org/10.1007/s42979-022-01150-9 |
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author | Samany, Najmeh Neysani Liu, Hua Aghataher, Reza Bayat, Mohammad |
author_facet | Samany, Najmeh Neysani Liu, Hua Aghataher, Reza Bayat, Mohammad |
author_sort | Samany, Najmeh Neysani |
collection | PubMed |
description | The coronavirus (COVID-19) pandemic has caused disastrous results in most countries of the world. It has rapidly spread across the globe with over 156 million cumulative confirmed cases and 3.264 million deaths to date, according to World Health Organization (WHO) Coronavirus Disease (COVID-19) Dashboard. With these huge amounts of causalities in the world, Geographic Information Systems (GIS) as a computer-based analyzer could help governments, experts, medical staff, and citizens to prevent and respond to the incidence. On the other hand, the COVID-19 pandemic involves many unknown parameters where most of them have a spatial dimension. Thus, spatial analysis and GIS could provide appropriate decision-making tools, predictive models, statistical methods, and new technologies for COVID-19 outbreak control, also help the people for avoiding direct contact and preserving social distance. This article aims to review the most promising categories of GIS-based solutions in this domain. We divided the solutions into ten classes including spatio-temporal analysis, SDSS approaches, geo-business, context-aware recommendation systems, participatory GIS and volunteered geographic information (VGI), internet of things (IoT), location-based service (LBS), web mapping, satellite imagery-based analysis, and waste management. The main contribution of this paper is proposing different geospatial guidelines that could provide reliable and useful protocols for COVID-19 outbreak control to minimize causalities, restrict incidence, establish effective urban communication, provide new approaches for business in lockdown situations, telehealth treatment, patient monitoring, adaptive decision making, and visualize trend analysis. |
format | Online Article Text |
id | pubmed-9069122 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Nature Singapore |
record_format | MEDLINE/PubMed |
spelling | pubmed-90691222022-05-04 Ten GIS-Based Solutions for Managing and Controlling COVID-19 Pandemic Outbreak Samany, Najmeh Neysani Liu, Hua Aghataher, Reza Bayat, Mohammad SN Comput Sci Review Article The coronavirus (COVID-19) pandemic has caused disastrous results in most countries of the world. It has rapidly spread across the globe with over 156 million cumulative confirmed cases and 3.264 million deaths to date, according to World Health Organization (WHO) Coronavirus Disease (COVID-19) Dashboard. With these huge amounts of causalities in the world, Geographic Information Systems (GIS) as a computer-based analyzer could help governments, experts, medical staff, and citizens to prevent and respond to the incidence. On the other hand, the COVID-19 pandemic involves many unknown parameters where most of them have a spatial dimension. Thus, spatial analysis and GIS could provide appropriate decision-making tools, predictive models, statistical methods, and new technologies for COVID-19 outbreak control, also help the people for avoiding direct contact and preserving social distance. This article aims to review the most promising categories of GIS-based solutions in this domain. We divided the solutions into ten classes including spatio-temporal analysis, SDSS approaches, geo-business, context-aware recommendation systems, participatory GIS and volunteered geographic information (VGI), internet of things (IoT), location-based service (LBS), web mapping, satellite imagery-based analysis, and waste management. The main contribution of this paper is proposing different geospatial guidelines that could provide reliable and useful protocols for COVID-19 outbreak control to minimize causalities, restrict incidence, establish effective urban communication, provide new approaches for business in lockdown situations, telehealth treatment, patient monitoring, adaptive decision making, and visualize trend analysis. Springer Nature Singapore 2022-05-05 2022 /pmc/articles/PMC9069122/ /pubmed/35531569 http://dx.doi.org/10.1007/s42979-022-01150-9 Text en © The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd 2022 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Review Article Samany, Najmeh Neysani Liu, Hua Aghataher, Reza Bayat, Mohammad Ten GIS-Based Solutions for Managing and Controlling COVID-19 Pandemic Outbreak |
title | Ten GIS-Based Solutions for Managing and Controlling COVID-19 Pandemic Outbreak |
title_full | Ten GIS-Based Solutions for Managing and Controlling COVID-19 Pandemic Outbreak |
title_fullStr | Ten GIS-Based Solutions for Managing and Controlling COVID-19 Pandemic Outbreak |
title_full_unstemmed | Ten GIS-Based Solutions for Managing and Controlling COVID-19 Pandemic Outbreak |
title_short | Ten GIS-Based Solutions for Managing and Controlling COVID-19 Pandemic Outbreak |
title_sort | ten gis-based solutions for managing and controlling covid-19 pandemic outbreak |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9069122/ https://www.ncbi.nlm.nih.gov/pubmed/35531569 http://dx.doi.org/10.1007/s42979-022-01150-9 |
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