TIME TREND AND SPATIAL DISTRIBUTION OF DENGUE IN BRAZIL
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Cogitare Enfermagem (Online) |
DOI: | 10.5380/ce.v27i0.88190 |
Texto Completo: | https://revistas.ufpr.br/cogitare/article/view/88190 |
Resumo: | Objective: to determine the time trend and spatial distribution of the confirmed dengue cases in Brazil between 2009 and 2019.Method: this is an ecological and longitudinal study of a historical series of the dengue cases available in the Information System of Notifiable Health Problems. The data were analyzed by means of time trend and spatial distributions.Results: the study denoted a stationary trend of the incidence coefficient (R=0.091; p>0.05). The Midwest region stood out among the Brazilian regions, with 42.04% incidence. In relation to the Brazilian states, Acre was the one with the highest incidence: 45.06%. Finally, regarding the severe form of dengue, the Southeast region stood out with 38.35% of the cases.Conclusion: based on the epidemiological analyses, it was concluded that, in Brazil, dengue is still a relevant public health problem, given the high number of cases. |
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Cogitare Enfermagem (Online) |
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TIME TREND AND SPATIAL DISTRIBUTION OF DENGUE IN BRAZILSpatial Distribution; Epidemiology; Public Health.Objective: to determine the time trend and spatial distribution of the confirmed dengue cases in Brazil between 2009 and 2019.Method: this is an ecological and longitudinal study of a historical series of the dengue cases available in the Information System of Notifiable Health Problems. The data were analyzed by means of time trend and spatial distributions.Results: the study denoted a stationary trend of the incidence coefficient (R=0.091; p>0.05). The Midwest region stood out among the Brazilian regions, with 42.04% incidence. In relation to the Brazilian states, Acre was the one with the highest incidence: 45.06%. Finally, regarding the severe form of dengue, the Southeast region stood out with 38.35% of the cases.Conclusion: based on the epidemiological analyses, it was concluded that, in Brazil, dengue is still a relevant public health problem, given the high number of cases.Universidade Federal do ParanáSilva, Thiago Rodrigues daCosta, Ana Karla Araújo NascimentoAlves, Kelle Araújo NascimentoSantos, Alisson NevesCota, Matheus de França2022-12-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://revistas.ufpr.br/cogitare/article/view/8819010.5380/ce.v27i0.88190Cogitare Enfermagem; v. 27 (2022)Cogitare Enfermagem; v. 27 (2022)Cogitare Enfermagem; v. 27 (2022)2176-91331414-853610.5380/ce.v27i0reponame:Cogitare Enfermagem (Online)instname:Universidade Federal do Paraná (UFPR)instacron:UFPRenghttps://revistas.ufpr.br/cogitare/article/view/88190/pdfDireitos autorais 2022 Thiago Rodrigues da Silva, Ana Karla Araújo Nascimento Costa, Kelle Araújo Nascimento Alves, Alisson Neves Santos, Matheus de França Cotahttp://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccess2022-12-01T14:25:07Zoai:revistas.ufpr.br:article/88190Revistahttps://revistas.ufpr.br/cogitare/indexPUBhttps://revistas.ufpr.br/cogitare/oaicogitare@ufpr.br2176-91331414-8536opendoar:2022-12-01T14:25:07Cogitare Enfermagem (Online) - Universidade Federal do Paraná (UFPR)false |
dc.title.none.fl_str_mv |
TIME TREND AND SPATIAL DISTRIBUTION OF DENGUE IN BRAZIL |
title |
TIME TREND AND SPATIAL DISTRIBUTION OF DENGUE IN BRAZIL |
spellingShingle |
TIME TREND AND SPATIAL DISTRIBUTION OF DENGUE IN BRAZIL TIME TREND AND SPATIAL DISTRIBUTION OF DENGUE IN BRAZIL Silva, Thiago Rodrigues da Spatial Distribution; Epidemiology; Public Health. Silva, Thiago Rodrigues da Spatial Distribution; Epidemiology; Public Health. |
title_short |
TIME TREND AND SPATIAL DISTRIBUTION OF DENGUE IN BRAZIL |
title_full |
TIME TREND AND SPATIAL DISTRIBUTION OF DENGUE IN BRAZIL |
title_fullStr |
TIME TREND AND SPATIAL DISTRIBUTION OF DENGUE IN BRAZIL TIME TREND AND SPATIAL DISTRIBUTION OF DENGUE IN BRAZIL |
title_full_unstemmed |
TIME TREND AND SPATIAL DISTRIBUTION OF DENGUE IN BRAZIL TIME TREND AND SPATIAL DISTRIBUTION OF DENGUE IN BRAZIL |
title_sort |
TIME TREND AND SPATIAL DISTRIBUTION OF DENGUE IN BRAZIL |
author |
Silva, Thiago Rodrigues da |
author_facet |
Silva, Thiago Rodrigues da Silva, Thiago Rodrigues da Costa, Ana Karla Araújo Nascimento Alves, Kelle Araújo Nascimento Santos, Alisson Neves Cota, Matheus de França Costa, Ana Karla Araújo Nascimento Alves, Kelle Araújo Nascimento Santos, Alisson Neves Cota, Matheus de França |
author_role |
author |
author2 |
Costa, Ana Karla Araújo Nascimento Alves, Kelle Araújo Nascimento Santos, Alisson Neves Cota, Matheus de França |
author2_role |
author author author author |
dc.contributor.none.fl_str_mv |
|
dc.contributor.author.fl_str_mv |
Silva, Thiago Rodrigues da Costa, Ana Karla Araújo Nascimento Alves, Kelle Araújo Nascimento Santos, Alisson Neves Cota, Matheus de França |
dc.subject.none.fl_str_mv |
|
dc.subject.por.fl_str_mv |
Spatial Distribution; Epidemiology; Public Health. |
topic |
Spatial Distribution; Epidemiology; Public Health. |
description |
Objective: to determine the time trend and spatial distribution of the confirmed dengue cases in Brazil between 2009 and 2019.Method: this is an ecological and longitudinal study of a historical series of the dengue cases available in the Information System of Notifiable Health Problems. The data were analyzed by means of time trend and spatial distributions.Results: the study denoted a stationary trend of the incidence coefficient (R=0.091; p>0.05). The Midwest region stood out among the Brazilian regions, with 42.04% incidence. In relation to the Brazilian states, Acre was the one with the highest incidence: 45.06%. Finally, regarding the severe form of dengue, the Southeast region stood out with 38.35% of the cases.Conclusion: based on the epidemiological analyses, it was concluded that, in Brazil, dengue is still a relevant public health problem, given the high number of cases. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-12-01 |
dc.type.none.fl_str_mv |
|
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://revistas.ufpr.br/cogitare/article/view/88190 10.5380/ce.v27i0.88190 |
url |
https://revistas.ufpr.br/cogitare/article/view/88190 |
identifier_str_mv |
10.5380/ce.v27i0.88190 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://revistas.ufpr.br/cogitare/article/view/88190/pdf |
dc.rights.driver.fl_str_mv |
http://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
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 do Paraná |
publisher.none.fl_str_mv |
Universidade Federal do Paraná |
dc.source.none.fl_str_mv |
Cogitare Enfermagem; v. 27 (2022) Cogitare Enfermagem; v. 27 (2022) Cogitare Enfermagem; v. 27 (2022) 2176-9133 1414-8536 10.5380/ce.v27i0 reponame:Cogitare Enfermagem (Online) instname:Universidade Federal do Paraná (UFPR) instacron:UFPR |
instname_str |
Universidade Federal do Paraná (UFPR) |
instacron_str |
UFPR |
institution |
UFPR |
reponame_str |
Cogitare Enfermagem (Online) |
collection |
Cogitare Enfermagem (Online) |
repository.name.fl_str_mv |
Cogitare Enfermagem (Online) - Universidade Federal do Paraná (UFPR) |
repository.mail.fl_str_mv |
cogitare@ufpr.br |
_version_ |
1822180390832439296 |
dc.identifier.doi.none.fl_str_mv |
10.5380/ce.v27i0.88190 |