ANAMORPHIC REPRESENTATIONS OF THE FIVE COVID-19 WAVES IN THE STATE OF RIO DE JANEIRO
Autor(a) principal: | |
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Data de Publicação: | 2023 |
Outros Autores: | |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Revista Geographia (Niterói. Online) |
Texto Completo: | https://periodicos.uff.br/geographia/article/view/56775 |
Resumo: | This work seeks to represent the cases, deaths and fatality rate of the 5 waves of Covid-19 that were released by the State Department of Health of Rio de Janeiro (SES-RJ) through the technique of anamorphism. Covid-19 is a disease acquired by the SARS-CoV-2 virus that has high transmissibility and new variants that emerged through mutations that occurred in different parts of the world during the pandemic declared in 2020 by the World Health Organization (WHO). The State of Rio de Janeiro had the record of five variants of Covid-19 that provided different spatial records to the municipalities of Rio de Janeiro that are observed over time. The ScapeToad software was used to generate these maps, which are a type of cartogram that represent the areas through contiguous distortions with the consideration of quantitative values. The results demonstrate that the Gamma and Omicron variants presented the highest records over time, allowing spatial analyzes about the disease and the implemented health actions. Keywords: COVID-19; WAVES; VARIANTS; ANAMORPHISM. |
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ANAMORPHIC REPRESENTATIONS OF THE FIVE COVID-19 WAVES IN THE STATE OF RIO DE JANEIRO REPRESENTACIONES ANAMÓRFICAS DE LAS CINCO ONDAS COVID-19 EN EL ESTADO DE RIO DE JANEIROREPRESENTAÇÕES ANAMÓRFICAS DAS 5 ONDAS DE COVID-19 NO ESTADO DO RIO DE JANEIROCOVID-19ONDASVARIANTESANAMORFISMOCOVID-19WavesVariantsAnamorphismCOVID-19OndasVariantesAnamorfismoThis work seeks to represent the cases, deaths and fatality rate of the 5 waves of Covid-19 that were released by the State Department of Health of Rio de Janeiro (SES-RJ) through the technique of anamorphism. Covid-19 is a disease acquired by the SARS-CoV-2 virus that has high transmissibility and new variants that emerged through mutations that occurred in different parts of the world during the pandemic declared in 2020 by the World Health Organization (WHO). The State of Rio de Janeiro had the record of five variants of Covid-19 that provided different spatial records to the municipalities of Rio de Janeiro that are observed over time. The ScapeToad software was used to generate these maps, which are a type of cartogram that represent the areas through contiguous distortions with the consideration of quantitative values. The results demonstrate that the Gamma and Omicron variants presented the highest records over time, allowing spatial analyzes about the disease and the implemented health actions. Keywords: COVID-19; WAVES; VARIANTS; ANAMORPHISM. Este trabajo busca representar los casos, las muertes y la tasa de letalidad de las 5 olas de Covid-19 que fueron liberadas por la Secretaría de Estado de Salud de Río de Janeiro (SES-RJ) a través de la técnica del anamorfismo. El Covid-19 es una enfermedad adquirida por el virus SARS-CoV-2 que tiene una alta transmisibilidad y nuevas variantes que surgieron a través de mutaciones ocurridas en diferentes partes del mundo durante la pandemia declarada en 2020 por la Organización Mundial de la Salud (OMS). El Estado de Río de Janeiro tenía el registro de cinco variantes de Covid-19 que proporcionaron registros espaciales diferentes a los municipios de Río de Janeiro que se observan a lo largo del tiempo. Para generar estos mapas se utilizó el software ScapeToad, que son una especie de cartogramas que representan las áreas a través de distorsiones contiguas con la consideración de valores cuantitativos. Los resultados demuestran que las variantes Gamma y Omicron presentaron los registros más altos a lo largo del tiempo, lo que permitió análisis espaciales sobre la enfermedad y las acciones de salud implementadas. Palabras clave: COVID-19; ONDAS; VARIANTES; ANAMORFISMOEste trabalho busca representar os casos, óbitos e taxa de letalidade das 5 ondas de Covid-19 que foram divulgadas pela Secretaria Estadual de Saúde do Rio de Janeiro (SES-RJ) por meio da técnica de anamorfismo. A Covid-19 é uma doença adquirida pelo vírus SARS-CoV-2 que possui grande transmissibilidade e novas variantes que surgiram através mutações que aconteceram em diversas partes do mundo durante a pandemia declarada em 2020 pela Organização Mundial da Saúde (OMS). O Estado do Rio de Janeiro teve o registro de cinco variantes da Covid-19 que proporcionaram diferentes registros espaciais aos municípios fluminenses que são observados ao longo do tempo. O software ScapeToad foi utilizado para a geração desses mapas que são um tipo de cartograma que representam as áreas por meio de distorções contíguas com a consideração de valores quantitativos. Os resultados demonstram que as variantes Gama e Ômicron apresentaram os maiores registros ao longo do tempo possibilitando análises espaciais sobre a doença e as ações de saúde implementadas. Palavras-chave: COVID-19; ONDAS; VARIANTES; ANAMORFISMO.UFF2023-12-06info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://periodicos.uff.br/geographia/article/view/5677510.22409/GEOgraphia2023.v25i55.a56775GEOgraphia; Vol. 25 No. 55 (2023): jul./dez.GEOgraphia; Vol. 25 Núm. 55 (2023): jul./dez.GEOgraphia; v. 25 n. 55 (2023): jul./dez.2674-81261517-779310.22409/GEOgraphia2023.v25i55reponame:Revista Geographia (Niterói. Online)instname:Universidade Federal Fluminense (UFF)instacron:UFFporhttps://periodicos.uff.br/geographia/article/view/56775/35447https://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessRegina Pires Ferreira, Patricia Mota de Sousa, Gustavo2023-07-19T17:27:23Zoai:ojs.pkp.sfu.ca:article/56775Revistahttps://periodicos.uff.br/geographia/indexPUBhttps://periodicos.uff.br/geographia/oaiperiodicos@proppi.uff.br ; revistageographia@gmail.com2674-81261517-7793opendoar:2023-07-19T17:27:23Revista Geographia (Niterói. Online) - Universidade Federal Fluminense (UFF)false |
dc.title.none.fl_str_mv |
ANAMORPHIC REPRESENTATIONS OF THE FIVE COVID-19 WAVES IN THE STATE OF RIO DE JANEIRO REPRESENTACIONES ANAMÓRFICAS DE LAS CINCO ONDAS COVID-19 EN EL ESTADO DE RIO DE JANEIRO REPRESENTAÇÕES ANAMÓRFICAS DAS 5 ONDAS DE COVID-19 NO ESTADO DO RIO DE JANEIRO |
title |
ANAMORPHIC REPRESENTATIONS OF THE FIVE COVID-19 WAVES IN THE STATE OF RIO DE JANEIRO |
spellingShingle |
ANAMORPHIC REPRESENTATIONS OF THE FIVE COVID-19 WAVES IN THE STATE OF RIO DE JANEIRO Regina Pires Ferreira, Patricia COVID-19 ONDAS VARIANTES ANAMORFISMO COVID-19 Waves Variants Anamorphism COVID-19 Ondas Variantes Anamorfismo |
title_short |
ANAMORPHIC REPRESENTATIONS OF THE FIVE COVID-19 WAVES IN THE STATE OF RIO DE JANEIRO |
title_full |
ANAMORPHIC REPRESENTATIONS OF THE FIVE COVID-19 WAVES IN THE STATE OF RIO DE JANEIRO |
title_fullStr |
ANAMORPHIC REPRESENTATIONS OF THE FIVE COVID-19 WAVES IN THE STATE OF RIO DE JANEIRO |
title_full_unstemmed |
ANAMORPHIC REPRESENTATIONS OF THE FIVE COVID-19 WAVES IN THE STATE OF RIO DE JANEIRO |
title_sort |
ANAMORPHIC REPRESENTATIONS OF THE FIVE COVID-19 WAVES IN THE STATE OF RIO DE JANEIRO |
author |
Regina Pires Ferreira, Patricia |
author_facet |
Regina Pires Ferreira, Patricia Mota de Sousa, Gustavo |
author_role |
author |
author2 |
Mota de Sousa, Gustavo |
author2_role |
author |
dc.contributor.author.fl_str_mv |
Regina Pires Ferreira, Patricia Mota de Sousa, Gustavo |
dc.subject.por.fl_str_mv |
COVID-19 ONDAS VARIANTES ANAMORFISMO COVID-19 Waves Variants Anamorphism COVID-19 Ondas Variantes Anamorfismo |
topic |
COVID-19 ONDAS VARIANTES ANAMORFISMO COVID-19 Waves Variants Anamorphism COVID-19 Ondas Variantes Anamorfismo |
description |
This work seeks to represent the cases, deaths and fatality rate of the 5 waves of Covid-19 that were released by the State Department of Health of Rio de Janeiro (SES-RJ) through the technique of anamorphism. Covid-19 is a disease acquired by the SARS-CoV-2 virus that has high transmissibility and new variants that emerged through mutations that occurred in different parts of the world during the pandemic declared in 2020 by the World Health Organization (WHO). The State of Rio de Janeiro had the record of five variants of Covid-19 that provided different spatial records to the municipalities of Rio de Janeiro that are observed over time. The ScapeToad software was used to generate these maps, which are a type of cartogram that represent the areas through contiguous distortions with the consideration of quantitative values. The results demonstrate that the Gamma and Omicron variants presented the highest records over time, allowing spatial analyzes about the disease and the implemented health actions. Keywords: COVID-19; WAVES; VARIANTS; ANAMORPHISM. |
publishDate |
2023 |
dc.date.none.fl_str_mv |
2023-12-06 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://periodicos.uff.br/geographia/article/view/56775 10.22409/GEOgraphia2023.v25i55.a56775 |
url |
https://periodicos.uff.br/geographia/article/view/56775 |
identifier_str_mv |
10.22409/GEOgraphia2023.v25i55.a56775 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://periodicos.uff.br/geographia/article/view/56775/35447 |
dc.rights.driver.fl_str_mv |
https://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
UFF |
publisher.none.fl_str_mv |
UFF |
dc.source.none.fl_str_mv |
GEOgraphia; Vol. 25 No. 55 (2023): jul./dez. GEOgraphia; Vol. 25 Núm. 55 (2023): jul./dez. GEOgraphia; v. 25 n. 55 (2023): jul./dez. 2674-8126 1517-7793 10.22409/GEOgraphia2023.v25i55 reponame:Revista Geographia (Niterói. Online) instname:Universidade Federal Fluminense (UFF) instacron:UFF |
instname_str |
Universidade Federal Fluminense (UFF) |
instacron_str |
UFF |
institution |
UFF |
reponame_str |
Revista Geographia (Niterói. Online) |
collection |
Revista Geographia (Niterói. Online) |
repository.name.fl_str_mv |
Revista Geographia (Niterói. Online) - Universidade Federal Fluminense (UFF) |
repository.mail.fl_str_mv |
periodicos@proppi.uff.br ; revistageographia@gmail.com |
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1797051585411416064 |