2021
DOI: 10.4081/gh.2021.911
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A qualitative geographical information system interpretation of mobility and COVID-19 pandemic intersection in Uttar Pradesh, India

Abstract: Mobility of individuals and their physical social networks are the root causes for the spread of current coronavirus pandemic. We propose here a method of visualizing the spatial and chronological aspects of the spread of this virus based on geographical information systems (GIS) and Gephi graphs. For this approach we used qualitative data from newspaper reports and prepared layouts varying from macro to micro scales that show that this approach can enrich traditional GIS approaches, thereby assisting mobility… Show more

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Cited by 8 publications
(4 citation statements)
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“…A method of visualizing the spatial and chronological aspects of the spread of this virus based on geographical information systems (GIS) was recently reported [ 51 ], and a case study in Bangladesh found COVID-19 to be strongly associated with the reach and mechanism of transport networks [ 52 ]. Gephi graphs based on qualitative data from newspaper reports and prepared layouts varying from macro to micro scales show that this approach can enrich traditional GIS approaches, thereby assisting mobility planners and policymakers [ 53 ].…”
Section: Resultsmentioning
confidence: 99%
“…A method of visualizing the spatial and chronological aspects of the spread of this virus based on geographical information systems (GIS) was recently reported [ 51 ], and a case study in Bangladesh found COVID-19 to be strongly associated with the reach and mechanism of transport networks [ 52 ]. Gephi graphs based on qualitative data from newspaper reports and prepared layouts varying from macro to micro scales show that this approach can enrich traditional GIS approaches, thereby assisting mobility planners and policymakers [ 53 ].…”
Section: Resultsmentioning
confidence: 99%
“…The majority of publications developed WebGISs to monitor the spread of COVID-19 [4,[39][40][41][42][43]. However, the literature also shows that many studies develop WebGIS for a purpose not associated with monitoring COVID-19.…”
Section: International Webgis Applicationsmentioning
confidence: 99%
“…Um grupo de estudiosos se dedicou a realizar análises geoespaciais para avaliar a demanda em contraste com a capacidade dos hospitais de referência para o tratamento da COVID-19, de modo a gerar subsídios para otimizar a gestão do provisionamento dos serviços de saúde (LISBINSKI;DIAS, 2020;SILALAHI et al, 2020;REQUIA et al, 2020;ZIAKAS;MYLONAKIS, 2020) NOUVELLET et al, 2021;MORAES et al, 2020;IACUS et al, 2020;ZHENG et al, 2020). Ainda neste primeiro grupo de estudos, detectou-se uma significativa preocupação com análises de redes viárias em associação com dados de fluxos de passageiros e a identificação dos pontos nodais dessas redes, ou hotspots -com grande potencial de disseminação da doença (JIA et al, 2021;MOREIRA;SANTOS, 2020;CHANG et al, 2021;SEVERO et al, 2021;CHEN HAONAN et al, 2020a;GAN et al, 2020; Nesses estudos diversas formas de mobilidade são retratadas, com destaque para os efeitos da migração MOREIRA;SANTOS, 2020;COELHO et al, 2020;XINLIANG et al, 2020), movimentos pendulares interregionais ou interurbanos NIU et al, 2020;FORTALEZA et al, 2021;MOREIRA;SANTOS, 2020;COELHO et al, 2020;ZHENG et al, 2020) e, sobretudo, deslocamentos intraurbanos (GAN et al, 2020;SEVERO et al, 2021;CHANG et al, 2021;ESEN;YAMAN, 2021;JIA et al, 2021;IACUS et al, 2020;NOUVELLET et al, 2021;…”
Section: Introductionunclassified