Volunteered Geographic Information Generates New Spatial Understandings of Covid-19 in Fortaleza

Gorayeb, Adryane; Libério, Lucas da Silva; Santos, Jáder de Oliveira; Silva, Francisco D. de Sousa; Cunha, Hercules G. Nascimento da; Nascimento, Sarah Luana Maia do; Silva, Regina Balbino da; Mota, Christian Martins; Souza, Wallason Farias de; Gorayeb, Paulo R.; Mesquita, Romullo Diogo Pereira; Filho, Narcélio de Sá Pereira

doi:10.1353/lag.2020.0048

Cited by 6 publications

(3 citation statements)

References 4 publications

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“…Gorayeb et al. ( 2020 ) describe information gathering through citizen surveys in Fortaleza, Brazil. The information provided by the population through the surveys exhibits similarities with data provided by official maps, suggesting that these are promising tools for rapid data collection.…”

Section: Resultsmentioning

confidence: 99%

“…PPGIS and VGI are important tools, in addition to existing information sources, for gathering data from the population to fight COVID-19 (Table 5). Gorayeb et al (2020) describe information gathering through citizen surveys in Fortaleza, Brazil. The information provided by the population through the surveys exhibits similarities with data provided by official maps, suggesting that these are promising tools for rapid data collection.…”

Section: Volunteered Geographic Information and Public Participation Gismentioning

confidence: 99%

See 1 more Smart Citation

A review of GIS methodologies to analyze the dynamics of COVID‐19 in the second half of 2020

Franch-Pardo

Desjardins

Barea-Navarro

et al. 2021

Transactions in GIS

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COVID‐19 has infected over 163 million people and has resulted in over 3.9 million deaths. Regarding the tools and strategies to research the ongoing pandemic, spatial analysis has been increasingly utilized to study the impacts of COVID‐19. This article provides a review of 221 scientific articles that used spatial science to study the pandemic published from June 2020 to December 2020. The main objectives are: to identify the tools and techniques used by the authors; to review the subjects addressed and their disciplines; and to classify the studies based on their applications. This contribution will facilitate comparisons with the body of work published during the first half of 2020, revealing the evolution of the COVID‐19 phenomenon through the lens of spatial analysis. Our results show that there was an increase in the use of both spatial statistical tools (e.g., geographically weighted regression, Bayesian models, spatial regression) applied to socioeconomic variables and analysis at finer spatial and temporal scales. We found an increase in remote sensing approaches, which are now widely applied in studies around the world. Lockdowns and associated changes in human mobility have been extensively examined using spatiotemporal techniques. Another dominant topic studied has been the relationship between pollution and COVID‐19 dynamics, which enhance the impact of human activities on the pandemic's evolution. This represents a shift from the first half of 2020, when the research focused on climatic and weather factors. Overall, we have seen a vast increase in spatial tools and techniques to study COVID‐19 transmission and the associated risk factors.

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Section: Resultsmentioning

confidence: 99%

Section: Volunteered Geographic Information and Public Participation Gismentioning

confidence: 99%

A review of GIS methodologies to analyze the dynamics of COVID‐19 in the second half of 2020

Franch-Pardo

Desjardins

Barea-Navarro

et al. 2021

Transactions in GIS

View full text Add to dashboard Cite

show abstract

“…Gorayeb et al collected VGI directly from residents through a 12-question survey that allowed for 1 free response regarding the reasons for non-compliance or partial compliance with social distancing recommendations made by Brazil’s Ministry of Health on 12 March 2020 [ 20 ]. Liegghio and Caragata expanded their original research scope from in-person interviews to include a photovoice that could be executed online, and used these remote methods to investigate how youth and families were impacted by the pandemic [ 36 ].…”

Section: Social Participation Of Citizensmentioning

confidence: 99%

A North–South Problem in Civic-Tech and Volunteered Geographic Information as Countermeasures of COVID-19: A Brief Overview

Suzuki

2022

SN COMPUT. SCI.

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The aim of this paper is to archive the situation we are witnessing regarding the application of geographic information by civic tech and volunteers, who spontaneously organised themselves to fight this newly emerging disease. Moreover, the regional bias and clarify the existence of a kind of North–South problem in the characteristics of the mapping process is aimed to be pointed out. Specific keywords were searcher after which research was performed using citations and keywords in the papers. In repositories such as GitHub, the search was performed using the country name to ensure that there were no omissions. In response to CoV19, which suddenly engulfed the world, simultaneous anti-CoV19 dashboards created by citizens with computer skills were published within a month or two of the outbreak’s beginning. North–South problem of our world extends to the availability and accessibility of information. Information and economic disparities also tend to cast a shadow on the response phase of society.

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The Ianos Cyclone (September 2020, Greece) from Perspective of Utilizing Social Networks for DM

Arapostathis

2021

IFIP Advances in Information and Communication Technology

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Volunteered Geographic Information Generates New Spatial Understandings of Covid-19 in Fortaleza

Cited by 6 publications

References 4 publications

A review of GIS methodologies to analyze the dynamics of COVID‐19 in the second half of 2020

A review of GIS methodologies to analyze the dynamics of COVID‐19 in the second half of 2020

A North–South Problem in Civic-Tech and Volunteered Geographic Information as Countermeasures of COVID-19: A Brief Overview

The Ianos Cyclone (September 2020, Greece) from Perspective of Utilizing Social Networks for DM

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