Incidence and lethality of COVID-19 clusters in Brazil via circular scan method
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UFLA |
Texto Completo: | http://repositorio.ufla.br/jspui/handle/1/50396 |
Resumo: | The COVID-19 pandemic has spread rapidly around the world in a frightening way. In Brazil, the third country with the highest number of infected and deaths from the disease, it is important for government health authorities to identify the federation units that stand out in cases and deaths from this disease to target resources. The circular scan statistic proposed by Martin Kulldorff allows to identify with some statistical significance the units of the federation that stand out in relation to the number of cases and deaths of COVID-19 in Brazil. Such units of federation are known as clusters. Once these clusters were identified, we used the coefficients of incidence and lethality to better describe the behavior of these clusters during three phases of the pandemic: the initial phase, the peak phase, and also the stability and fall phase. We observed changes in the location of the clusters identified in these three phases and used the R software and also the SaTScan software to obtain the maps and results, which were consistent with what was reported by the Brazilian media. |
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Incidence and lethality of COVID-19 clusters in Brazil via circular scan methodCOVID-19KulldorffPandemicLethalityPandemiaLetalidadeThe COVID-19 pandemic has spread rapidly around the world in a frightening way. In Brazil, the third country with the highest number of infected and deaths from the disease, it is important for government health authorities to identify the federation units that stand out in cases and deaths from this disease to target resources. The circular scan statistic proposed by Martin Kulldorff allows to identify with some statistical significance the units of the federation that stand out in relation to the number of cases and deaths of COVID-19 in Brazil. Such units of federation are known as clusters. Once these clusters were identified, we used the coefficients of incidence and lethality to better describe the behavior of these clusters during three phases of the pandemic: the initial phase, the peak phase, and also the stability and fall phase. We observed changes in the location of the clusters identified in these three phases and used the R software and also the SaTScan software to obtain the maps and results, which were consistent with what was reported by the Brazilian media.Universidade Federal de Lavras2022-06-29T18:01:05Z2022-06-29T18:01:05Z2021info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfALVES, H. J. de P. et al. Incidence and lethality of COVID-19 clusters in Brazil via circular scan method. Brazilian Journal of Biometrics, Lavras, v. 39, n. 4, p. 556-570, 2021. DOI: 10.28951/rbb.v39i4.539.http://repositorio.ufla.br/jspui/handle/1/50396Brazilian Journal of Biometricsreponame:Repositório Institucional da UFLAinstname:Universidade Federal de Lavras (UFLA)instacron:UFLAAttribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessAlves, Henrique José de PaulaFernandes, Felipe AugustoLima, Kelly Pereira deBatista, Ben Dêivide de OliveiraFernandes, Tales Jesuseng2022-06-29T18:01:05Zoai:localhost:1/50396Repositório InstitucionalPUBhttp://repositorio.ufla.br/oai/requestnivaldo@ufla.br || repositorio.biblioteca@ufla.bropendoar:2022-06-29T18:01:05Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA)false |
dc.title.none.fl_str_mv |
Incidence and lethality of COVID-19 clusters in Brazil via circular scan method |
title |
Incidence and lethality of COVID-19 clusters in Brazil via circular scan method |
spellingShingle |
Incidence and lethality of COVID-19 clusters in Brazil via circular scan method Alves, Henrique José de Paula COVID-19 Kulldorff Pandemic Lethality Pandemia Letalidade |
title_short |
Incidence and lethality of COVID-19 clusters in Brazil via circular scan method |
title_full |
Incidence and lethality of COVID-19 clusters in Brazil via circular scan method |
title_fullStr |
Incidence and lethality of COVID-19 clusters in Brazil via circular scan method |
title_full_unstemmed |
Incidence and lethality of COVID-19 clusters in Brazil via circular scan method |
title_sort |
Incidence and lethality of COVID-19 clusters in Brazil via circular scan method |
author |
Alves, Henrique José de Paula |
author_facet |
Alves, Henrique José de Paula Fernandes, Felipe Augusto Lima, Kelly Pereira de Batista, Ben Dêivide de Oliveira Fernandes, Tales Jesus |
author_role |
author |
author2 |
Fernandes, Felipe Augusto Lima, Kelly Pereira de Batista, Ben Dêivide de Oliveira Fernandes, Tales Jesus |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Alves, Henrique José de Paula Fernandes, Felipe Augusto Lima, Kelly Pereira de Batista, Ben Dêivide de Oliveira Fernandes, Tales Jesus |
dc.subject.por.fl_str_mv |
COVID-19 Kulldorff Pandemic Lethality Pandemia Letalidade |
topic |
COVID-19 Kulldorff Pandemic Lethality Pandemia Letalidade |
description |
The COVID-19 pandemic has spread rapidly around the world in a frightening way. In Brazil, the third country with the highest number of infected and deaths from the disease, it is important for government health authorities to identify the federation units that stand out in cases and deaths from this disease to target resources. The circular scan statistic proposed by Martin Kulldorff allows to identify with some statistical significance the units of the federation that stand out in relation to the number of cases and deaths of COVID-19 in Brazil. Such units of federation are known as clusters. Once these clusters were identified, we used the coefficients of incidence and lethality to better describe the behavior of these clusters during three phases of the pandemic: the initial phase, the peak phase, and also the stability and fall phase. We observed changes in the location of the clusters identified in these three phases and used the R software and also the SaTScan software to obtain the maps and results, which were consistent with what was reported by the Brazilian media. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021 2022-06-29T18:01:05Z 2022-06-29T18:01:05Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
ALVES, H. J. de P. et al. Incidence and lethality of COVID-19 clusters in Brazil via circular scan method. Brazilian Journal of Biometrics, Lavras, v. 39, n. 4, p. 556-570, 2021. DOI: 10.28951/rbb.v39i4.539. http://repositorio.ufla.br/jspui/handle/1/50396 |
identifier_str_mv |
ALVES, H. J. de P. et al. Incidence and lethality of COVID-19 clusters in Brazil via circular scan method. Brazilian Journal of Biometrics, Lavras, v. 39, n. 4, p. 556-570, 2021. DOI: 10.28951/rbb.v39i4.539. |
url |
http://repositorio.ufla.br/jspui/handle/1/50396 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/ info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Attribution 4.0 International http://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 |
Universidade Federal de Lavras |
publisher.none.fl_str_mv |
Universidade Federal de Lavras |
dc.source.none.fl_str_mv |
Brazilian Journal of Biometrics reponame:Repositório Institucional da UFLA instname:Universidade Federal de Lavras (UFLA) instacron:UFLA |
instname_str |
Universidade Federal de Lavras (UFLA) |
instacron_str |
UFLA |
institution |
UFLA |
reponame_str |
Repositório Institucional da UFLA |
collection |
Repositório Institucional da UFLA |
repository.name.fl_str_mv |
Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA) |
repository.mail.fl_str_mv |
nivaldo@ufla.br || repositorio.biblioteca@ufla.br |
_version_ |
1823242049585938432 |