Resumo
This work aims to provide an overview of the territorial evolution of COVID-19 (SARS-CoV-2) in Brazil using socio-demographic variables, for the time span between February 26, 2020 until January 24, 2021. Socio-demographic indicators, basic sanitation infrastructure data, and epidemiological bulletins were integrated using Principal Components Analysis (PCA) to develop a social vulnerability index (SVI), to estimate the degree of exposure risk of the Brazilian population to COVID-19. The results indicate that the majority of confirmed cases were reported from the main Brazilian capitals, linked to well-developed port and airport modes. In terms of deaths, the states of São Paulo, Rio de Janeiro, Ceará and Pernambuco were at the top of the ranking. On the contrary, there were some states of the mid-west (Mato Grosso do Sul) and the north (Acre, Amapá, Roraima, Rondônia and Tocantins), that recorded low mortality indexes. The SVI reveals that the states of the north and north-east are the most vulnerable. Regarding the metropolitan areas, it was observed that the main capitals of the north and north-east, with the exception of Salvador, present significantly more critical numbers in terms of dissemination and deaths by COVID-19 than the capitals of the south-southeast, where the SVI is lower. The comparative exception was Santa Catarina state metropolitan areas. Finally, as the virus does not strike everyone in the same way, one of the great challenges is to search for solutions to cope with COVID-19 in the face of very unequal realities. Thus, a reflection on the strategies adopted by the Brazilian government is relevant, while considering the continental dimensions and the diversity of the Brazilian regions, to obtain a better analysis of the more vulnerable populations and social groups.
Referências
ABDI, H.; WILLIAMS, L. J. Principal component analysis. Wiley Interdisciplinary Reviews: Computational Statistics, v. 2, n. 4, p. 433–459, 2010. Available in: https://doi.org/10.1002/wics.101
ALEIXO, N. C. R. et al. Pelos caminhos das águas: a mobilidade e evolução da COVID-19 no estado do Amazonas. Confins, n. 45, 2020. Available in: https://doi.org/10.4000/confins.30072
BERNARDES, J. A.; ARRUZZO, R. C.; MONTEIRO, D. M. L. V. GEOGRAFIA E COVID-19: NEOLIBERALISMO, VULNERABILIDADES E LUTA PELA VIDA. Revista Tamoios, v. 16, n. 1, 2020. Available in: https://doi.org/10.12957/tamoios.2020.50645
BROWNE, A. et al. The roles of transportation and transportation hubs in the propagation of influenza and coronaviruses: a systematic review. Journal of Travel Medicine, v. 23, n. 1, 2016. Available in: https://doi.org/10.1093/jtm/tav002
CANDIDO, D. et al. Routes for COVID-19 importation in Brazil. Journal of Travel Medicine, v. 27, n. 3, p. 1–3, 2020. Available in: https://doi.org/10.1093/jtm/taaa042
DATASUS, Ministério da Saúde. Painel Coronavírus (COVID-19) - Brasil. Brasília, 2021. Available in: https://covid.saude.gov.br/.
DE PAULA, D. P. et al. Diffusion of Covid-19 in the Northern Metropolis in Northeast Brazil: territorial dynamics and risks associated with Social Vulnerability. Sociedade & Natureza, v. 32, n. September, p. 639–656, 2020. Available in: https://doi.org/10.14393/sn-v32-2020-56098
DO CARMO, M. E.; GUIZARDI, F. L. O conceito de vulnerabilidade e seus sentidos para as políticas públicas de saúde e assistência social. Cadernos de Saude Publica, v. 34, n. 3, 2018. Available in: https://doi.org/10.1590/0102-311X00101417
FATEMI, F. et al. Social vulnerability indicators in disasters: Findings from a systematic review. International Journal of Disaster Risk Reduction, v. 22, n. September 2016, p. 219–227, 2017. Available in: https://doi.org/10.1016/j.ijdrr.2016.09.006
FORSTER, P. et al. Phylogenetic network analysis of SARS-CoV-2 genomes. Proceedings of the National Academy of Sciences of the United States of America, v. 117, n. 17, p. 9241–9243, 2020. Available in: https://doi.org/10.1073/pnas.2004999117
GUIMARÃES, R. B. et al. O raciocinio geografico e as chaves de leitura da Covid-19 no territorio brasileiro. Estudos Avancados, v. 34, n. 99, p. 119–140, 2020. Available in: https://doi.org/10.1590/S0103-4014.2020.3499.008
HAMID, S.; MIR, M. Y.; ROHELA, G. K. Novel coronavirus disease (COVID-19): a pandemic (epidemiology, pathogenesis and potential therapeutics). New Microbes and New Infections, v. 35, p. 100679, 2020. Available in: https://doi.org/10.1016/j.nmni.2020.100679
IBGE. Sinopse do Censo Demográfi co 2010. Rio de Janeiro, 2010. Available in: https://biblioteca.ibge.gov.br/visualizacao/livros/liv49230.pdf.
IBGE. Síntese de indicadores sociais : uma análise das condições de vida da população brasileira: 2019. Rio de Janeiro: IBGE, 2019. E-book.
IPEA. Atlas da vulnerabilidade social nos municípios brasileiros. Brasília: IPEA, 2015. E-book. Available in: http://ivs.ipea.gov.br/images/publicacoes/Ivs/publicacao_atlas_ivs.pdf
JESUS, J. G. et al. Importation and early local transmission of COVID-19 in Brazil, 2020. Revista do Instituto de Medicina Tropical de São Paulo, v. 62, n. April, p. 1–5, 2020. Available in: https://doi.org/10.1590/s1678-9946202062030
KRAEMER, M. U. G. et al. The effect of human mobility and control measures on the COVID-19 epidemic in China. Science, v. 368, n. 6490, p. 493–497, 2020. Available in: https://doi.org/10.1126/science.abb4218
MOREIRA, R. A Formação espacial brasileira: contribuíção crítica aos fundamentos espaciais da geografia do Brasil. Rio de Janeiro: Ed. Consequência, 2014.
MTUR, Ministério do Turismo. Estatísticas básicas de turismo Brasil - Ano base 2018. Brasília, 2019.
REGIC. Regiões de influência das cidades : 2018 / IBGE, Coordenação de Geografia. Rio de Janeiro: IBGE, 2018. E-book. Available in: https://biblioteca.ibge.gov.br/visualizacao/livros/liv101728.pdf
REIS, C. et al. A produção do conhecimento sobre risco e vulnerabilidade social como sustentação das práticas em políticas públicas. Estudos de Psicologia (Campinas), v. 31, n. 4, p. 583–593, 2014. Available in: https://doi.org/10.1590/0103-166x2014000400012
RODRIGUEZ-MORALES, A. J. et al. COVID-19 in Latin America: The implications of the first confirmed case in Brazil. Travel Medicine and Infectious Disease, v. 35, 2020. Available in: https://doi.org/10.1016/j.tmaid.2020.101613
SANTOS, J. A. F. Covid-19, causas fundamentais,classe social e território. Trabalho, Educação e Saúde, v. 18, n. 3, 2020. Available in: https://doi.org/10.1590/1981-7746-sol00280
SANTOS, M. O retorno do territorio. OSAL: Observatorio Social de América Latina, v. 6, n. 16, p. 1515–3282, 2005. Available in: http://www.clacso.org.ar/biblioteca
SILVEIRA, M. R. et al. Novo coronavírus (Sars-CoV-2): difusão espacial e outro patamar para a socialização dos investimentos no Brasil. Revista Brasileira de Estudos Urbanos e Regionais, v.22, E202024pt, p. 1–36, 2020. Available in: https://doi.org/10.22296/2317-1529.rbeur.202024pt
SOHRABI, C. et al. World Health Organization declares global emergency: A review of the 2019 novel coronavirus (COVID-19). Elsevier Ltd, 2020. Disponível em: https://doi.org/10.1016/j.ijsu.2020.02.034
SOURIS, M. Epidemiology and geography: principles, methods and tools of spatial analysis. London: ISTE Wiley, 2019. E-book. Available in: www.iste.co.uk
TAVARES, A. O. et al. Decennial comparison of changes in social vulnerability: A municipal analysis in support of risk management. International Journal of Disaster Risk Reduction, v. 31, n. July, p. 679–690, 2018. Available in: https://doi.org/10.1016/j.ijdrr.2018.07.009
WHO. Covid-19 weekely epidemiological update. Situation report 24 january 2021. https://covid19.who.int/
Direitos Autorais para artigos publicados nesta revista são do autor, com direitos de primeira publicação para a revista. Em virtude de aparecerem em revista de acesso público, os artigos são licenciados sob Creative Commons Attribution (BY), que permite o uso irrestrito, distribuição e reprodução em qualquer meio, desde que o trabalho original seja devidamente citado.