The Spatial implications of the covid-19 pandemic in the Legal Amazon

The use of graphic modelling as a resource for understanding space

Authors

DOI:

https://doi.org/10.53455/re.v5i1.240

Keywords:

Covid-19, Pandemic, Amazon, spatial analysis

Abstract

Context: In the legal Amazon, the discussion on how the covid-19 pandemic affected the population tested public health capacity due to its complex territorial dynamics, socioeconomic inequalities, and health assistance limitations. In this context, the use of graphic modeling, based on coremas theory, supported by GIS, emerged as a promising approach to understanding the spatial implications of the disease's spread. Methodology:The study design was a prospective approach, using data on accumulated covid-19 cases made available by the Brazilian Federal Government's Coronavirus Brazil data portal, as well as basemaps from the Instituto Brasileiro de Geografia e Estatística (IBGE). Graphic modeling, based on Roger Brunet's and Théry's graphic language, allowed the analysis of spatial patterns, including incidence and lethality maps. Conclusions: Graphic modeling revealed that the spread of covid-19 in the Legal Amazon originated from the state capitals toward regional municipalities. The analysis of territorial dynamics highlighted the importance of urban hierarchy, contagion flows, and health resources in the pandemic's evolution in the region. Geographic reasoning of the virus's propagation spotted weakness of the Amazonian cities and its implication, emphasizing the need for effective health policies and adequate infrastructure, in order to create emergency plans to reach most remote and deprived areas in outbreak planning.

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Author Biography

Matheus Vasconcelos da Paixão, Federal University of Southern and Southeastern Pará

Graduando em Bacharelado em Geografia

References

Becker, B. K. (2007). Amazônia: Geopolítica na virada do III milênio. Garamond.

Brunet, R. (1986). La carte-modèle et les chorèmes. Mappemonde, 4. DOI: https://doi.org/10.3406/mappe.1986.2334

Brunet, R. (2001). Le déchiffrement du Monde: Théorie et pratique de La géographie. Editions Berlin.

Cardoso, F. H., & Müller, G. (2008). O desenvolvimento econômico recente na Amazônia e seus aspectos demográficos. In F.H. Cardoso, & G. Muller. (Eds.), Amazônia: expansão do capitalismo. (pp. 29-39). Centro Edelstein de Pesquisas Sociais. https://doi.org/10.7476/9788599662731 DOI: https://doi.org/10.7476/9788599662731.0003

Costa, W. M. (2009). O Brasil e a América do Sul: cenários geopolíticos e os desafios da integração. Confins. https://doi.org/10.4000/confins.6107 DOI: https://doi.org/10.4000/confins.6107

Girardi, E. P. (2008). Proposição teórico-metodológica de uma cartografia geográfica crítica e sua aplicação no desenvolvimento do atlas da questão agrária brasileira. [Tese de Doutorado, Universidade Estadual Paulista] https://repositorio.unesp.br/bitstream/handle/11449/105064/girardi_ep_dr_prud.pdf?sequence=1

Lima, J., & Borges Guimarães, R. (2022). Análise Espacial da COVID-19 em Presidente Prudente e Botucatu - São Paulo. Estrabão, 3(1), 130–141. https://doi.org/10.53455/re.v3i.21 DOI: https://doi.org/10.53455/re.v3i.21

Mascarenhas, A. L. S & Vidal, M. R. (2020). Estimativa da prevalência de infecção por COVID-19 na Amazônia Legal a partir da teoria corológica e da ciência da informação geográfica. Revista Ensaios de Geografia, 5(9), 16-21. DOI: https://doi.org/10.22409/eg.v5i9.41427

Merchán-Hamann, E., Tauil, P. L., & Costa, M. P. (2000). Terminologia das medidas e indicadores em epidemiologia: subsídios para uma possível padronização da nomenclatura. Informe Epidemiológico do Sus, 9(4), 276-284. https://dx.doi.org/10.5123/S0104-1673200000040000 DOI: https://doi.org/10.5123/S0104-16732000000400006

Moraes, A. C. (2007). Geografia: pequena história crítica. (21a ed.). Annablume.

Rezende, A. A. B. et al. (2023). Distribuição da COVID-19 e dos recursos de saúde na Amazônia Legal: uma análise espacial. Ciência & Saúde Coletiva. 28(1), 131-141. https://doi.org/10.1590/1413-81232023281.10782022

Théry, H. (2004). Modelização gráfica para análise regional: um método. Geousp espaço e tempo, 15.

Voiron, C., & Chéry, J.-P. (2005). Espace géographique, spatialisation et modélisation en dynamique des systèmes. Res-Systemica, 5, 10 p. https://hal.science/hal-00602190

Fernandes, H. S. (2020). Covid-19 and Other Viruses in Brazil: Can the New Pandemic Influence Epidemiological Records? Preprints, 19(May), 1–5. https://doi.org/10.20944/preprints202005.0138.v1 DOI: https://doi.org/10.20944/preprints202005.0138.v1

Guimarães, R. B., de Castro Catão, R., da Silva Martinuci, O., Pugliesi, E. A., & Matsumoto, P. S. S. (2020). O raciocinio geografico e as chaves de leitura da Covid-19 no territorio brasileiro. Estudos Avancados, 34(99), 119–140. https://doi.org/10.1590/S0103-4014.2020.3499.008 DOI: https://doi.org/10.1590/s0103-4014.2020.3499.008

Kamel Boulos, M. N., & Geraghty, E. M. (2020). Geographical tracking and mapping of coronavirus disease COVID-19/severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) epidemic and associated events around the world: How 21st century GIS technologies are supporting the global fight against outbreaks and epidemics. International Journal of Health Geographics, 19(1). https://doi.org/10.1186/s12942-020-00202-8 DOI: https://doi.org/10.1186/s12942-020-00202-8

Rezende, A. A. B., da Silva, R. P., Pedrosa, N. L., da Luz, R. A., da Paixão, A. N., Rodrigues, W., da Rocha Silva, M. A., & de Rezende Campos, A. (2023). Distribution of COVID-19 cases and health resources in Brazil’s Amazon region: a spatial analysis. Ciencia e Saude Coletiva, 28(1), 131–141. https://doi.org/10.1590/1413-81232023281.10782022 DOI: https://doi.org/10.1590/1413-81232023281.10782022en

Published

11-04-2024

How to Cite

Paixão, M., Fonseca, E., Mascarenhas, A., & Almeida, L. (2024). The Spatial implications of the covid-19 pandemic in the Legal Amazon: The use of graphic modelling as a resource for understanding space. Estrabão, 5(1), 243–254. https://doi.org/10.53455/re.v5i1.240

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Articule