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) |
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 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 |
title_full_unstemmed |
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 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_ |
1797068305324834816 |