PERSISTENCE AND CHANGES IN EMERGING COVID-19 SPACE-TIME CLUSTERS IN BRAZILIAN MUNICIPALITIES IN 2020-2021

Detalhes bibliográficos
Autor(a) principal: Damasceno, Gustavo Menezes Silva
Data de Publicação: 2024
Outros Autores: Oliveira, Beatriz Fátima Alves de, Matos, Vanderlei Pascoal de, Sobral, Andréa
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Hygeia (Uberlândia)
Texto Completo: https://seer.ufu.br/index.php/hygeia/article/view/68774
Resumo: The impacts of COVID-19 in Brazil are evident and exacerbate the country´s inequalities. This study aimed to analyze the persistence and changes in the log-likelihood ratio (LLR), radius, duration, observed and expected number of cases, p-values, number of municipalities, population, and the relative risk of space-time clusters of COVID-19 cases identified in Brazilian municipalities in the epidemiological weeks with peak transmission in 2020 and 2021. The study period was from the epidemiological week (EW) 09-2020 to EW 29-2021 (23 February 2020 to 24 July 2021). The prospective space-time scan was performed during the EW with peaks in case numbers and repeated in the five subsequent EWs to verify clusters’ persistence and changes over space and time. COVID-19 clusters were identified in a large part of Brazil´s territory. Over the analyzed period, the clusters´ disposition patterns became increasingly similar, and the clusters were identified in akin locations. The detected clusters also became more persistent, with longer duration; and stronger, with higher LLR. The methodology identified areas with greater risk of COVID-19 that should be prioritized for better allocation of health resources to mitigate transmission.
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spelling PERSISTENCE AND CHANGES IN EMERGING COVID-19 SPACE-TIME CLUSTERS IN BRAZILIAN MUNICIPALITIES IN 2020-2021PERSISTÊNCIA E MUDANÇAS EM CLUSTERS ESPAÇO-TEMPORAIS EMERGENTES DE COVID-19 NOS MUNICÍPIOS BRASILEIROS EM 2020-2021COVID-19Clusters espaço-temporaisVigilância epidemiológicaAnálise espacialAnálise espaço-temporalCOVID-19Space-time clustersEpidemiological surveillanceSpatial analysisSpace-time scanThe impacts of COVID-19 in Brazil are evident and exacerbate the country´s inequalities. This study aimed to analyze the persistence and changes in the log-likelihood ratio (LLR), radius, duration, observed and expected number of cases, p-values, number of municipalities, population, and the relative risk of space-time clusters of COVID-19 cases identified in Brazilian municipalities in the epidemiological weeks with peak transmission in 2020 and 2021. The study period was from the epidemiological week (EW) 09-2020 to EW 29-2021 (23 February 2020 to 24 July 2021). The prospective space-time scan was performed during the EW with peaks in case numbers and repeated in the five subsequent EWs to verify clusters’ persistence and changes over space and time. COVID-19 clusters were identified in a large part of Brazil´s territory. Over the analyzed period, the clusters´ disposition patterns became increasingly similar, and the clusters were identified in akin locations. The detected clusters also became more persistent, with longer duration; and stronger, with higher LLR. The methodology identified areas with greater risk of COVID-19 that should be prioritized for better allocation of health resources to mitigate transmission.Os impactos da COVID-19 no Brasil são evidentes e exacerbam as desigualdades do país. Este estudo teve como objetivo analisar a persistência e as mudanças nas na razão de log-verossimilhança (LLR), raio, duração, número de casos observados e esperados, valores de p, número de municípios, população e no risco relativo dos aglomerados espaço-temporais dos casos de COVID-19 identificados nos municípios brasileiros nas semanas epidemiológicas com pico de transmissão em 2020 e 2021. O período do estudo foi da semana epidemiológica (SE) 09-2020 a SE 29-2021 (23 de fevereiro de 2020 a 24 de julho de 2021). A varredura prospectiva espaço-temporal foi realizada durante as SE’s com picos no número de casos e repetida nas cinco SE’s subsequentes para verificar a persistência dos clusters e as mudanças no espaço e no tempo. Clusters de COVID-19 foram identificados em grande parte do território brasileiro. Ao longo do período analisado, os padrões de disposição dos clusters tornaram-se cada vez mais semelhantes e os clusters foram identificados em localizações similares. Os clusters detectados também se tornaram mais persistentes, com maior duração; e fortes, com maior LLR. A metodologia identificou áreas com maior risco de COVID-19 que devem ser priorizadas para melhor alocação de recursos de saúde para mitigar a transmissão.Universidade Federal de Uberlândia2024-01-22info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://seer.ufu.br/index.php/hygeia/article/view/6877410.14393/Hygeia2068774Hygeia - Revista Brasileira de Geografia Médica e da Saúde; v. 20 (2024); e20021980-1726reponame:Hygeia (Uberlândia)instname:Universidade Federal de Uberlândia (UFU)instacron:UFUenghttps://seer.ufu.br/index.php/hygeia/article/view/68774/37772Copyright (c) 2024 Gustavo Menezes Silva Damasceno, Beatriz Fátima Alves de Oliveira, Vanderlei Pascoal de Matos, Andréa Sobralinfo:eu-repo/semantics/openAccessDamasceno, Gustavo Menezes SilvaOliveira, Beatriz Fátima Alves deMatos, Vanderlei Pascoal deSobral, Andréa2024-05-14T21:00:03Zoai:ojs.www.seer.ufu.br:article/68774Revistahttps://seer.ufu.br/index.php/hygeiaPUBhttps://seer.ufu.br/index.php/hygeia/oaisamuel@ufu.br||flavia.santos@ufu.br1980-17261980-1726opendoar:2024-05-14T21:00:03Hygeia (Uberlândia) - Universidade Federal de Uberlândia (UFU)false
dc.title.none.fl_str_mv PERSISTENCE AND CHANGES IN EMERGING COVID-19 SPACE-TIME CLUSTERS IN BRAZILIAN MUNICIPALITIES IN 2020-2021
PERSISTÊNCIA E MUDANÇAS EM CLUSTERS ESPAÇO-TEMPORAIS EMERGENTES DE COVID-19 NOS MUNICÍPIOS BRASILEIROS EM 2020-2021
title PERSISTENCE AND CHANGES IN EMERGING COVID-19 SPACE-TIME CLUSTERS IN BRAZILIAN MUNICIPALITIES IN 2020-2021
spellingShingle PERSISTENCE AND CHANGES IN EMERGING COVID-19 SPACE-TIME CLUSTERS IN BRAZILIAN MUNICIPALITIES IN 2020-2021
Damasceno, Gustavo Menezes Silva
COVID-19
Clusters espaço-temporais
Vigilância epidemiológica
Análise espacial
Análise espaço-temporal
COVID-19
Space-time clusters
Epidemiological surveillance
Spatial analysis
Space-time scan
title_short PERSISTENCE AND CHANGES IN EMERGING COVID-19 SPACE-TIME CLUSTERS IN BRAZILIAN MUNICIPALITIES IN 2020-2021
title_full PERSISTENCE AND CHANGES IN EMERGING COVID-19 SPACE-TIME CLUSTERS IN BRAZILIAN MUNICIPALITIES IN 2020-2021
title_fullStr PERSISTENCE AND CHANGES IN EMERGING COVID-19 SPACE-TIME CLUSTERS IN BRAZILIAN MUNICIPALITIES IN 2020-2021
title_full_unstemmed PERSISTENCE AND CHANGES IN EMERGING COVID-19 SPACE-TIME CLUSTERS IN BRAZILIAN MUNICIPALITIES IN 2020-2021
title_sort PERSISTENCE AND CHANGES IN EMERGING COVID-19 SPACE-TIME CLUSTERS IN BRAZILIAN MUNICIPALITIES IN 2020-2021
author Damasceno, Gustavo Menezes Silva
author_facet Damasceno, Gustavo Menezes Silva
Oliveira, Beatriz Fátima Alves de
Matos, Vanderlei Pascoal de
Sobral, Andréa
author_role author
author2 Oliveira, Beatriz Fátima Alves de
Matos, Vanderlei Pascoal de
Sobral, Andréa
author2_role author
author
author
dc.contributor.author.fl_str_mv Damasceno, Gustavo Menezes Silva
Oliveira, Beatriz Fátima Alves de
Matos, Vanderlei Pascoal de
Sobral, Andréa
dc.subject.por.fl_str_mv COVID-19
Clusters espaço-temporais
Vigilância epidemiológica
Análise espacial
Análise espaço-temporal
COVID-19
Space-time clusters
Epidemiological surveillance
Spatial analysis
Space-time scan
topic COVID-19
Clusters espaço-temporais
Vigilância epidemiológica
Análise espacial
Análise espaço-temporal
COVID-19
Space-time clusters
Epidemiological surveillance
Spatial analysis
Space-time scan
description The impacts of COVID-19 in Brazil are evident and exacerbate the country´s inequalities. This study aimed to analyze the persistence and changes in the log-likelihood ratio (LLR), radius, duration, observed and expected number of cases, p-values, number of municipalities, population, and the relative risk of space-time clusters of COVID-19 cases identified in Brazilian municipalities in the epidemiological weeks with peak transmission in 2020 and 2021. The study period was from the epidemiological week (EW) 09-2020 to EW 29-2021 (23 February 2020 to 24 July 2021). The prospective space-time scan was performed during the EW with peaks in case numbers and repeated in the five subsequent EWs to verify clusters’ persistence and changes over space and time. COVID-19 clusters were identified in a large part of Brazil´s territory. Over the analyzed period, the clusters´ disposition patterns became increasingly similar, and the clusters were identified in akin locations. The detected clusters also became more persistent, with longer duration; and stronger, with higher LLR. The methodology identified areas with greater risk of COVID-19 that should be prioritized for better allocation of health resources to mitigate transmission.
publishDate 2024
dc.date.none.fl_str_mv 2024-01-22
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://seer.ufu.br/index.php/hygeia/article/view/68774
10.14393/Hygeia2068774
url https://seer.ufu.br/index.php/hygeia/article/view/68774
identifier_str_mv 10.14393/Hygeia2068774
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://seer.ufu.br/index.php/hygeia/article/view/68774/37772
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Federal de Uberlândia
publisher.none.fl_str_mv Universidade Federal de Uberlândia
dc.source.none.fl_str_mv Hygeia - Revista Brasileira de Geografia Médica e da Saúde; v. 20 (2024); e2002
1980-1726
reponame:Hygeia (Uberlândia)
instname:Universidade Federal de Uberlândia (UFU)
instacron:UFU
instname_str Universidade Federal de Uberlândia (UFU)
instacron_str UFU
institution UFU
reponame_str Hygeia (Uberlândia)
collection Hygeia (Uberlândia)
repository.name.fl_str_mv Hygeia (Uberlândia) - Universidade Federal de Uberlândia (UFU)
repository.mail.fl_str_mv samuel@ufu.br||flavia.santos@ufu.br
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