Applications of GIS and Geospatial analyses in COVID-19 research: A systematic review

Geographic Information Science (GIS) had established itself as a distinct domain and incredibly useful whenever the research is related to geography, space, and other spatio-temporal dimensions. However, the scientific landscape on the integration of GIS in the COVID related studies is largely unknown. In this systematic review, we assessed the current evidence on the implementation of GIS and other geospatial tools and technologies in COVID-19 pandemic. We systematically retrieved and reviewed 79 research articles that either directly used GIS or other Geospatial tools as part of their analysis. We grouped the identified papers under six broader thematic groups based on the objectives and research questions of the study- environmental, socio-economic, and cultural, public health, spatial transmission, computer-aided modeling, and data mining. The interdisciplinary nature of how geographic and spatial analysis was used in COVID-19 research was noticeable among the reviewed papers. Although GIS has substantial potential in planning to slow down the spread, surveillance, contact tracing, and identify the trends and hotspots of breakdowns, it was not employed as much as it could have been. This review not only provided an overarching view on how GIS has been used in COVID-19 research so far but also concluded that this geospatial analysis and technologies could be used in future public health emergencies along with statistical and other socio-economic modeling techniques. Our systematic review also provides how both scientific communities and policymakers could leverage GIS to extract useful information to make an informed decision in the coming days

Applications of GIS and Geospatial analyses in COVID-19 research: A systematic review

Geographic Information Science (GIS) had established itself as a distinct domain and incredibly useful whenever the research is related to geography, space, and other spatio-temporal dimensions. However, the scientific landscape on the integration of GIS in the COVID related studies is largely unknown. In this systematic review, we assessed the current evidence on the implementation of GIS and other geospatial tools and technologies in COVID-19 pandemic. We systematically retrieved and reviewed 79 research articles that either directly used GIS or other Geospatial tools as part of their analysis. We grouped the identified papers under six broader thematic groups based on the objectives and research questions of the study- environmental, socio-economic, and cultural, public health, spatial transmission, computer-aided modeling, and data mining. The interdisciplinary nature of how geographic and spatial analysis was used in COVID-19 research was noticeable among the reviewed papers. Although GIS has substantial potential in planning to slow down the spread, surveillance, contact tracing, and identify the trends and hotspots of breakdowns, it was not employed as much as it could have been. This review not only provided an overarching view on how GIS has been used in COVID-19 research so far but also concluded that this geospatial analysis and technologies could be used in future public health emergencies along with statistical and other socio-economic modeling techniques. Our systematic review also provides how both scientific communities and policymakers could leverage GIS to extract useful information to make an informed decision in the coming days.</p

GIS in COVID-19 research

Geographic information science (GIS) had established itself as a distinct domain and incredibly useful whenever the research is related to geography, space, and other spatio-temporal dimensions. However, the scientific landscape on the integration of GIS in the COVID related studies is largely unknown. In this systematic review, we assessed the current evidence on the implementation of GIS and other geospatial tools and technologies in COVID-19 pandemic

Applications of GIS and geospatial analyses in COVID-19 research: A systematic review

Background: Geographic information science (GIS) has established itself as a distinct domain and incredibly useful whenever the research is related to geography, space, and other spatio-temporal dimensions. However, the scientific landscape on the integration of GIS in COVID-related studies is largely unknown. In this systematic review, we assessed the current evidence on the implementation of GIS and other geospatial tools in the COVID-19 pandemic. Methods: We systematically retrieved and reviewed 79 research articles that either directly used GIS or other geospatial tools as part of their analysis. We grouped the identified papers under six broader thematic groups based on the objectives and research questions of the study- environmental, socio-economic, and cultural, public health, spatial transmission, computer-aided modeling, and data mining. Results: The interdisciplinary nature of how geographic and spatial analysis was used in COVID-19 research was notable among the reviewed papers. Although GIS has substantial potential in planning to slow down the spread, surveillance, contact tracing, and identify the trends and hotspots of breakdowns, it was not employed as much as it could have been. This review not only provided an overarching view on how GIS has been used in COVID-19 research so far but also concluded that this geospatial analysis and technologies could be used in future public health emergencies along with statistical and other socio-economic modeling techniques. Our systematic review also provides how both scientific communities and policymakers could leverage GIS to extract useful information to make an informed decision in the future. Conclusions:  Despite the limited applications of GIS in identifying the nature and spatio-temporal pattern of this raging pandemic, there are opportunities to utilize these techniques in handling the pandemic. The use of spatial analysis and GIS could significantly improve how we understand the pandemic as well as address the underserviced demographic groups and communities.</ns3:p

Applications of GIS and geospatial analyses in COVID-19 research: A systematic review

Background: Geographic information science (GIS) has established itself as a distinct domain and incredibly useful whenever the research is related to geography, space, and other spatio-temporal dimensions. However, the scientific landscape on the integration of GIS in COVID-related studies is largely unknown. In this systematic review, we assessed the current evidence on the implementation of GIS and other geospatial tools in the COVID-19 pandemic. Methods: We systematically retrieved and reviewed 79 research articles that either directly used GIS or other geospatial tools as part of their analysis. We grouped the identified papers under six broader thematic groups based on the objectives and research questions of the study- environmental, socio-economic, and cultural, public health, spatial transmission, computer-aided modeling, and data mining. Results: The interdisciplinary nature of how geographic and spatial analysis was used in COVID-19 research was notable among the reviewed papers. Geospatial techniques, especially WebGIS, have even been widely used to visualize the data on a map and were critical to informing the public regarding the spread of the virus, especially during the early days of the pandemic. This review not only provided an overarching view on how GIS has been used in COVID-19 research so far but also concluded that geospatial analysis and technologies could be used in future public health emergencies along with statistical and other socio-economic modeling techniques. Our review also highlighted how scientific communities and policymakers could leverage GIS to extract useful information to make an informed decision in the future. Conclusions:  Despite the limited applications of GIS in identifying the nature and spatio-temporal pattern of this raging pandemic, there are opportunities to utilize these techniques in handling the pandemic. The use of spatial analysis and GIS could significantly improve how we understand the pandemic as well as address the underserviced demographic groups and communities.</ns3:p

Cyclone “Amphan” evacuation dilemmas of coastal households amidst COVID-19 pandemic: A study of South-Western region of Bangladesh

Abstract Cyclone ‘Amphan’ battered the coastal communities in the south-western part of Bangladesh in 2020 during the Covid-19 pandemic. The coastal communities experienced the situation for the first time and were in dilemma whether to stay at home to embrace the cyclone alone or risking the Covid-19 contagion in the cyclone shelters by evacuating themselves. This article intended to explore cyclone Amphan evacuation dynamics among the coastal households amidst COVID-19 pandemic. The study investigated evacuation behaviors among households and explored the impacts of COVID-19 on the evacuation processes. We adopted household survey for collecting primary information and determined 378 samples for interviews at a precision level of 0.05 in fourteen villages. Results demonstrated that despite the utmost effort from the government, 96.6% people in the coastal area received an evacuation order before the landfall, and only 42% people respected the evacuation order. Majority households choose to stay at home because of fear due to Covid-19 in the crowded shelters. Although half of the evacuees were housed in the cyclone shelter, visible COVID-19 protecting facilities were unavailable. Thus, this study would assist future government policies and enhance disaster evacuation plans by incorporating the pandemic to reduce disaster risks in the global south.</jats:p

Applications of geospatial analyses in health research among homeless people: A systematic scoping review of available evidence

AbstractBackgroundThe coronavirus pandemic visualized the inequality in the community living standards and how housing is a fundamental requirement to ensure a livable environment. However, even before the pandemic, unequal housing access resulted in more than 150 million homeless people worldwide, and more than 22 million new people were added to this inventory for climate-related issues. This homeless population has a counterproductive effect on the social, psychological integration efforts by the community and exposure to other severe health-related issues.MethodsWe systematically identified and reviewed 24 articles which met all three requirements we set forth-i. samples include homeless people, ii. focused on public health-related issues among the same group of people, and iii. used geospatial analysis tools and techniques in conducting the research.ResultOur review findings indicated a major disparity in the geographic distribution of the case study locations-all the articles are from six (6) countries-USA (n = 16), Canada (n = 3), UK (n = 2), and one study each from Brazil, Ireland, and South Africa. Majority of the studies used spatial analysis tools to identify the hotspots, clustering and spatial patterns of patient location and distribution. ArcGIS is the most frequently used GIS application, however, studies also used other statistical applications with spatial analysis capabilities. These studies reported relationship between the location of homeless shelters and substance use, discarded needles, different infectious and non-infectious disease clusters.ConclusionAlthough, most studies were restricted in analyzing and visualizing the trends, patterns, and disease clusters, geospatial analyses techniques can be used to assess health problems such as disease distributions and associated factors across communities. Moreover, health and services and accessibility concerns could be well addressed by integrating spatial analysis into homelessness-related research. This may facilitate policymaking for health-issues among the homeless people and address health inequities in this vulnerable population.</jats:sec