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Beyond density

Covid-19 as an accelerator of spatial (in)justices

Bibliographic Data

ID11376235
AuthorsEmanuele Sciuva (0000-0001-9228-7624, Politecnico di Torino, corresponding author)
Year2024
Volume143
Pages102975
Publication date2024-01-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueHabitat International (JOURNAL)
Journal identifiersISSN: 0197-3975 • E-ISSN: 1873-5428
PublisherElsevier BV (PUBLISHER)
DOI10.1016/j.habitatint.2023.102975
OpenAlexW4389477430
LanguageEN
Citations received2
References cited32

Around the end of 2019, in Wuhan, Hubei Province, China, the first confirmed cases of COVID-19 were identified, and from then on, the world we were used to knowing changed globally. The role of population density, in relation to the spread of the pandemic, has been widely scrutinised in urban studies, believed to be the triggering variable. However, the results so far are inconclusive. This paper suggests instead to shift the focus to socio-spatial vulnerabilities, as the effects of the pandemic's spread have been more severe in urban units which feature long-standing inequalities. The paper's aim is, therefore, twofold: on the one hand it aims at contributing to the debate on population density and COVID-19 in urban areas, and, on the other hand, to analyse the pandemic's spread in relation to socio-spatial vulnerabilities. Different cities across the globe are drawn into a comparative project, where the pandemic's spread is analysed in relation to variables of Population Density (PD) and a Social Vulnerability Index (SVI), by employing correlation matrices. The results suggest that there is no significant correlation between density and the spread of COVID-19. Instead, a positive correlation is in place when analysing the pandemic's diffusion with socio-spatial inequalities

Cartography · China · Computer security · Coronavirus disease 2019 (COVID-19 · Demographic economics · Development economics · Economic geography · Economic growth · Economics · Geography · Globe · Inequality · Pandemic · Population · Population density · Socioeconomics · Sociology · Spatial correlation · Statistics · Vulnerability (computing · Computer Science · COVID-19 epidemiological studies · Demography · Mathematics · Medicine · Urban Transport and Accessibility · Urban, Neighborhood, and Segregation Studies

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Unique citing works2
Citations per year1
Citation span2024 - 2026 (3)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 2

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