A spectral clustering approach for the evolution of the COVID-19 pandemic in the state of Rio Grande do Sul, Brazil
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UFRGS |
Texto Completo: | http://hdl.handle.net/10183/257128 |
Resumo: | The aim of this paper is to analyse the evolution of the COVID-19 pandemic in Rio Grande do Sul by applying graph-theoretical tools, particularly spectral clustering techniques, on weighted graphs defined on the set of 167 municipalities in the state with population 10,000 or more, which are based on data provided by government agencies and other sources. To respond to this outbreak, the state has adopted a system by which pre-determined regions are assigned flags on a weekly basis, and different measures go into effect according to the flag assigned. Our results suggest that considering a flexible approach to the regions themselves might be a useful additional tool to give more leeway to cities with lower incidence rates, while keeping the focus on public safety. Moreover, simulations show that the combination of pendulum migration and isolation data used in this paper leads to a coherent qualitative description of the evolution of the pandemic in Rio Grande do Sul. These simulations also confirm the dampening effect of isolation on the dissemination of the disease. |
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Allem, Luiz EmílioHoppen, CarlosMarzo, Matheus MicadeiSibemberg, Lucas Siviero2023-04-19T03:23:58Z20222676-0029http://hdl.handle.net/10183/257128001159242The aim of this paper is to analyse the evolution of the COVID-19 pandemic in Rio Grande do Sul by applying graph-theoretical tools, particularly spectral clustering techniques, on weighted graphs defined on the set of 167 municipalities in the state with population 10,000 or more, which are based on data provided by government agencies and other sources. To respond to this outbreak, the state has adopted a system by which pre-determined regions are assigned flags on a weekly basis, and different measures go into effect according to the flag assigned. Our results suggest that considering a flexible approach to the regions themselves might be a useful additional tool to give more leeway to cities with lower incidence rates, while keeping the focus on public safety. Moreover, simulations show that the combination of pendulum migration and isolation data used in this paper leads to a coherent qualitative description of the evolution of the pandemic in Rio Grande do Sul. These simulations also confirm the dampening effect of isolation on the dissemination of the disease.application/pdfengTrends in Computational and Applied Mathematics. São Carlos, SP. Vol. 23, n. 4 (2022), p. 705 - 729Agrupamento espectralCOVID-19Modelos epidemiológicosSpectral clusteringCOVID-19 pandemicDiscrete epidemiological modelA spectral clustering approach for the evolution of the COVID-19 pandemic in the state of Rio Grande do Sul, Brazilinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/otherinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFRGSinstname:Universidade Federal do Rio Grande do Sul (UFRGS)instacron:UFRGSTEXT001159242.pdf.txt001159242.pdf.txtExtracted Texttext/plain68478http://www.lume.ufrgs.br/bitstream/10183/257128/2/001159242.pdf.txt538ae8f7be9c6320e481480f6b71c221MD52ORIGINAL001159242.pdfTexto completo (inglês)application/pdf786476http://www.lume.ufrgs.br/bitstream/10183/257128/1/001159242.pdf97b0bca8d730a285cd9bee5883db4859MD5110183/2571282023-04-20 03:20:57.936644oai:www.lume.ufrgs.br:10183/257128Repositório de PublicaçõesPUBhttps://lume.ufrgs.br/oai/requestopendoar:2023-04-20T06:20:57Repositório Institucional da UFRGS - Universidade Federal do Rio Grande do Sul (UFRGS)false |
dc.title.pt_BR.fl_str_mv |
A spectral clustering approach for the evolution of the COVID-19 pandemic in the state of Rio Grande do Sul, Brazil |
title |
A spectral clustering approach for the evolution of the COVID-19 pandemic in the state of Rio Grande do Sul, Brazil |
spellingShingle |
A spectral clustering approach for the evolution of the COVID-19 pandemic in the state of Rio Grande do Sul, Brazil Allem, Luiz Emílio Agrupamento espectral COVID-19 Modelos epidemiológicos Spectral clustering COVID-19 pandemic Discrete epidemiological model |
title_short |
A spectral clustering approach for the evolution of the COVID-19 pandemic in the state of Rio Grande do Sul, Brazil |
title_full |
A spectral clustering approach for the evolution of the COVID-19 pandemic in the state of Rio Grande do Sul, Brazil |
title_fullStr |
A spectral clustering approach for the evolution of the COVID-19 pandemic in the state of Rio Grande do Sul, Brazil |
title_full_unstemmed |
A spectral clustering approach for the evolution of the COVID-19 pandemic in the state of Rio Grande do Sul, Brazil |
title_sort |
A spectral clustering approach for the evolution of the COVID-19 pandemic in the state of Rio Grande do Sul, Brazil |
author |
Allem, Luiz Emílio |
author_facet |
Allem, Luiz Emílio Hoppen, Carlos Marzo, Matheus Micadei Sibemberg, Lucas Siviero |
author_role |
author |
author2 |
Hoppen, Carlos Marzo, Matheus Micadei Sibemberg, Lucas Siviero |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Allem, Luiz Emílio Hoppen, Carlos Marzo, Matheus Micadei Sibemberg, Lucas Siviero |
dc.subject.por.fl_str_mv |
Agrupamento espectral COVID-19 Modelos epidemiológicos |
topic |
Agrupamento espectral COVID-19 Modelos epidemiológicos Spectral clustering COVID-19 pandemic Discrete epidemiological model |
dc.subject.eng.fl_str_mv |
Spectral clustering COVID-19 pandemic Discrete epidemiological model |
description |
The aim of this paper is to analyse the evolution of the COVID-19 pandemic in Rio Grande do Sul by applying graph-theoretical tools, particularly spectral clustering techniques, on weighted graphs defined on the set of 167 municipalities in the state with population 10,000 or more, which are based on data provided by government agencies and other sources. To respond to this outbreak, the state has adopted a system by which pre-determined regions are assigned flags on a weekly basis, and different measures go into effect according to the flag assigned. Our results suggest that considering a flexible approach to the regions themselves might be a useful additional tool to give more leeway to cities with lower incidence rates, while keeping the focus on public safety. Moreover, simulations show that the combination of pendulum migration and isolation data used in this paper leads to a coherent qualitative description of the evolution of the pandemic in Rio Grande do Sul. These simulations also confirm the dampening effect of isolation on the dissemination of the disease. |
publishDate |
2022 |
dc.date.issued.fl_str_mv |
2022 |
dc.date.accessioned.fl_str_mv |
2023-04-19T03:23:58Z |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/other |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10183/257128 |
dc.identifier.issn.pt_BR.fl_str_mv |
2676-0029 |
dc.identifier.nrb.pt_BR.fl_str_mv |
001159242 |
identifier_str_mv |
2676-0029 001159242 |
url |
http://hdl.handle.net/10183/257128 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.ispartof.pt_BR.fl_str_mv |
Trends in Computational and Applied Mathematics. São Carlos, SP. Vol. 23, n. 4 (2022), p. 705 - 729 |
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info:eu-repo/semantics/openAccess |
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openAccess |
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application/pdf |
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