THE SPATIAL DISTRIBUTION, DEMOGRAPHIC DENSITY AND THE OCCURRENCE OF COVID-19 IN THE NEIGHBORHOODS OF VIÇOSA, MG

Authors

  • Bruna Arantes Universidade Federal de Juiz de Fora-UFJF
  • Sabrina Barbosa Universidade do Estado do Rio de Janeiro-UERJ
  • Klaus Alberto Universidade Federal de Juiz de Fora-UFJF

DOI:

https://doi.org/10.29327/sbqp2021.437988

Keywords:

COVID-19, Urban environment, Spatial distribution, Infection rate

Abstract

The coronavirus pandemic has provoked discussions that try to identify whether the density population is one of the factors that can contribute to the dissemination of COVID-19. Although many studies have assessed the rate of infection, it is important to understand how this distribution occurs at the intra-urban scale of the municipalities. Thus, the aim of this study is to characterize the spatial distribution of the COVID-19 cases and identify its relationship with demographic density, the number of people per household and the economic situation of Viçosa. For this, data on the number of Covid-19 cases in the city were evaluated. The results present the characterization of those infected by age and gender and the relationships between the infection rate and i) demographic density; ii) the number of people per household and iii) the socioeconomic situation of the neighborhoods. The results indicated that there is a direct relationship between the occurrence of cases and the number of people in the neighborhoods, and an indirect relationship between the infection rate and the economic situation in the neighborhoods. However, there was no relationship between the density of people, the average number of residents and the rate of coronavirus infection.

References

BARAK, N.; SOMMER, U.; MUALAM, N. Urban attributes and the spread of COVID-19: The effects ofdensity, compliance and socio-political factors in Israel. Science of the Total Environment. V 793,148626, p. 1-10, 2021.

CÂMARA, S. F.; PINTO, F. R.; SILVA, F. R; GERHAR, F. Vulnerabilidade socioeconômica à COVID-19em municípios do Ceará. Revista de Administração Pública – RAP, Rio de Janeiro. v. 54, n. 4, p.1037-1051, 2020.

CAVALCANTI, J. R; ABREU, A. de J. L. de. COVID-19 no município do Rio de Janeiro: análiseespacial da ocorrência dos primeiros casos e óbitos confirmados. Epidemiologia e Serviço deSaúde, Brasília, v. 29, n.3, p. 1-10, 2020.

FIOCRUZ - FUNDAÇÃO OSWALDO CRUZ. Impactos sociais, econômicos, culturais e políticos dapandemia. Rio de Janeiro. Disponível em: <https://portal.fiocruz.br/impactos-sociais-economicosculturais-e-politicos-da-pandemia>. Acesso em: 12 de mai. 2021HAMIDI S.; SABOURI S.; EWING, R. Does density aggravate the COVID-19 pandemic? Journal of theAmerican planning association.86:4, p. 495-509, 2020.

IBGE -INSTITUTO BRASILEIRO DE GEOGRAFIA E ESTATÍSTICA – IBGE. Cidades e Estados do Brasil.

Disponíel em< https://cidades.ibge.gov.br/brasil/mg/vicosa/panorama>. Acesso em: 12 de mai.2021KAN, Z.; KWAN, M.P.; WONG, M.S.; HUANG, J.; LIU, D. Identifying the space-time patterns of COVID19 risk and their associations with different built environment features in Hong Kong. Science TotalEnvironment, v. 772. 2021.

KWOK, C. Y. T.; WONG, M. S.; CHAN, K. L.; KWAN, M. P.; NICHOL, J. E.; LIU, C. H.; WONG, J. Y. H.;WAI, A. K. C.; CHAN, L. W. C.; XU, Y.; LI, H.; HUANG, J.; KAN, Z. Spatial analysis of the impact ofurban geometry and socio-demographic characteristics on COVID-19, a study in Hong Kong.

Science of Total Environment. v.764. 2021.

LI, B.; PENG, Y.; HE, H.; WANG, M.; FENG, T. Built environment and early infection of COVID-19 inurban districts: A case study of Huangzhou. Sustainable Cities and Society. v. 66, 2021.

MARIA, A. C. de S.; FARIA, T. C. de A.; STEPHAN, I. I. C. Um retrato da evolução urbana de ViçosaMG: impactos da federalização da UFV sobre a cidade (1969-2014). Revista Brasileira dePlanejamento e Desenvolvimento, v. 3(1), p.37-54, 2014.

OPAS - ORGANIZAÇÃO PAN-AMERICANA DA SAÚDE . Histórico da pandemia de COVID-19.

Disponível em: <https://www.paho.org/pt/covid19/historico-da-pandemia-covid-19>.

RAHMAN, M. H.; ZAFRI, N. M.; ASHIK, F. R.; WALIULLAH, M.; KHAN, A. Identification of risk factorscontributing to COVID-19 incidence rates in Bangladesh: A GIS-based spatial modellingapproach. Heliyon. v. 7. p. 1-11, 2021.

SANTOS, J. P. C. dos; SIQUEIRA A. S. P.; PRAÇA, H. L. F.; ALBUQUERQUE, H. G. Vulnerabilidade aformas graves de COVID-19: uma análise intramunicipal na cidade do Rio de Janeiro. Cadernosde Saúde Pública – CSP, v. 36(5), 2020.

SILVA, M. L., Expansão da Cidade de Viçosa (MG): a Dinâmica Centro-periferia. Dissertação(mestrado em geografia) – Universidade Federal do Espírito Santo. Espírito Santo, 2014.

SHARIFI, A.; KHAVARIAN-GARMSIR, A. R. The COVID-19 pandemic: Impacts on cities and majorlessons for urban planning, design, and management. Science of Total Environment. v. 749. 2020.

WADE L. An unequal blow. Science. v. 368(6492), p. 700–703. 2020.

WASDANI K.P., PRASAD A. The impossibility of social distancing among the urban poor: the case ofan Indian slum in the times of COVID-19. Local Environment. V. 25(5), p. 414–418, 2020.

WERNECK, G. L.; CARVALHO, M. S. The Covid-19 pandemic in Brazil: chronicle of a health crisisforetold. Cadernos de Saúde Pública. v. 36(5), 2020.

YEBOAH, A. S.; TAKYI, S. A.; AMPONSAH, O.; ANAAFO, D. Assessing the practicality of the COVID-19social distancing guidelines to the urban poor in the Ghanaian context. Social Sciences &Humanities Open. v. 2, 2020.

YIP T. L.; HUANG, Y.; LIANG, C. Built environment and the metropolitan pandemic: Analysis of theCOVID-19 spread in Hong Kong. Building and Environment. v.188. 2021.

Published

2021-11-19

How to Cite

Arantes, B. ., Barbosa, S. ., & Alberto, K. . (2021). THE SPATIAL DISTRIBUTION, DEMOGRAPHIC DENSITY AND THE OCCURRENCE OF COVID-19 IN THE NEIGHBORHOODS OF VIÇOSA, MG. SIMPÓSIO BRASILEIRO DE QUALIDADE DE PROJETO DO AMBIENTE CONSTRUÍDO, 7, 1–10. https://doi.org/10.29327/sbqp2021.437988

Similar Articles

<< < 3 4 5 6 7 8 9 10 11 12 > >> 

You may also start an advanced similarity search for this article.