Dynamics of notified cases of dengue in Alagoas: Geospatialization and Applied Statistics
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , , , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Research, Society and Development |
DOI: | 10.33448/rsd-v10i15.22990 |
Texto Completo: | https://rsdjournal.org/index.php/rsd/article/view/22990 |
Resumo: | The aim of the study was to evaluate the reported cases of dengue in the State of Alagoas via applied statistics and geospatialization.Dengue data were obtained from the DATASUS system between 2000 and 2015. The time series was submitted to descriptive and exploratory statistics and the Pettitt test. In the dengue case maps, the Spline method via QGis version 3.4 was used. In descriptive statistics, only 10 municipalities were evaluated based on the largest case records. All municipalities were above the average of dengue cases in 2010, the year of the biggest recent flood in the state. The boxplot pointed out that all 10 municipalities were positive asymmetric in a few months for dengue cases, the exception was Delmiro Gouveia. The Pettitt test identified biannual cycles (2006/2007 and 2009/2010) associated with the phases of ENSO (El Niño and La Niña) in the moderate category, followed by the months of January, February, April and December, corresponding to the performance of some systems synoptics. In the mapping of annual cases of dengue, the highest records occurred in the Agreste and East Alagoas. Geospatialization and applied statistics are efficient in the spatiotemporal evaluation of dengue cases in Alagoas. |
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Dynamics of notified cases of dengue in Alagoas: Geospatialization and Applied StatisticsDinámica de casos notificados de dengue en Alagoas: Geoespacialización y Estadísticas AplicadasDinâmica dos casos notificados de dengue em Alagoas: Geoespacialização e Estatística AplicadaDengueEstatística aplicadaUrbanizaçãoAdensamento populacionalEspaço-temporalidade.DengueApplied statisticsUrbanizationPopulation densitySpace-temporality.DengueEstadística aplicadaUrbanizaciónDensidad de poblaciónEspaciotemporal.The aim of the study was to evaluate the reported cases of dengue in the State of Alagoas via applied statistics and geospatialization.Dengue data were obtained from the DATASUS system between 2000 and 2015. The time series was submitted to descriptive and exploratory statistics and the Pettitt test. In the dengue case maps, the Spline method via QGis version 3.4 was used. In descriptive statistics, only 10 municipalities were evaluated based on the largest case records. All municipalities were above the average of dengue cases in 2010, the year of the biggest recent flood in the state. The boxplot pointed out that all 10 municipalities were positive asymmetric in a few months for dengue cases, the exception was Delmiro Gouveia. The Pettitt test identified biannual cycles (2006/2007 and 2009/2010) associated with the phases of ENSO (El Niño and La Niña) in the moderate category, followed by the months of January, February, April and December, corresponding to the performance of some systems synoptics. In the mapping of annual cases of dengue, the highest records occurred in the Agreste and East Alagoas. Geospatialization and applied statistics are efficient in the spatiotemporal evaluation of dengue cases in Alagoas.El objetivo del estudio fue evaluar los casos notificados de dengue en el estado de Alagoas mediante estadística aplicada y geoespacialización. Los datos del dengue se obtuvieron del sistema DATASUS entre 2000 y 2015. La serie temporal se sometió a estadística descriptiva y exploratoria y a la prueba de Pettitt. En los mapas de casos de dengue se utilizó el método Spline vía QGis versión 3.4. En estadística descriptiva, solo se evaluaron 10 municipios con base en los registros de casos más grandes. Todos los municipios estuvieron por encima del promedio de casos de dengue en 2010, el año de la mayor inundación reciente en el estado. El diagrama de caja señaló que los 10 municipios fueron asimétricos positivos en unos pocos meses para los casos de dengue, la excepción fue Delmiro Gouveia. La prueba de Pettitt identificó ciclos bianuales (2006/2007 y 2009/2010) asociados a las fases de ENOS (El Niño y La Niña) en la categoría moderada, seguidos de los meses de enero, febrero, abril y diciembre, correspondientes al desempeño de algunos sistemas sinópticos. En el mapeo de casos anuales de dengue, los registros más altos ocurrieron en el Agreste y el este de Alagoas. La geoespacialización y las estadísticas aplicadas son eficientes en la evaluación espaciotemporal de los casos de dengue en Alagoas.O objetivo do estudo foi avaliar os casos notificados de dengue no Estado de Alagoas via estatística aplicada e a geoespacialização. Os dados de dengue foram obtidos do sistema DATASUS entre 2000 a 2015. A série temporal foi submetida à estatística descritiva, exploratória e o teste de Pettitt. Nos mapas de casos de dengue foi usado o método de Spline via QGis versão 3.4. Na estatística descritiva, apenas 10 municípios foram avaliados com base nos maiores registros de casos. Todos os municípios foram superiores à média de casos de dengue em 2010, ano da maior enchente recente no Estado. O boxplot apontou que todos os 10 municípios foram assimétricos positivos em alguns meses para os casos de dengue, a exceção foi Delmiro Gouveia. O teste de Pettitt identificou ciclos bianuais (2006/2007 e 2009/2010) associados às fases do ENOS (El Niño e La Niña) na categoria moderada, seguido dos meses de janeiro, fevereiro, abril e dezembro, correspondentes a atuação de alguns sistemas sinóticos. No mapeamento dos casos anuais de dengue, os maiores registros ocorreram no Agreste e Leste Alagoano. A geoespacialização e a estatística aplicada são eficientes na avaliação espaço-temporal dos casos de dengue em Alagoas.Research, Society and Development2021-11-29info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://rsdjournal.org/index.php/rsd/article/view/2299010.33448/rsd-v10i15.22990Research, Society and Development; Vol. 10 No. 15; e415101522990Research, Society and Development; Vol. 10 Núm. 15; e415101522990Research, Society and Development; v. 10 n. 15; e4151015229902525-3409reponame:Research, Society and Developmentinstname:Universidade Federal de Itajubá (UNIFEI)instacron:UNIFEIporhttps://rsdjournal.org/index.php/rsd/article/view/22990/20604Copyright (c) 2021 Silvania Donato da Silva; José Francisco de Oliveira-Júnior; Washington Luiz Félix Correia Filho; Heliofábio Gomes Barros; Edson de Oliveira Souza; Dimas de Barros Santiago; Elania Barros da Silva; Melquizedeck Belo Silvahttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessSilva, Silvania Donato daOliveira-Júnior, José Francisco deCorreia Filho, Washington Luiz FélixBarros, Heliofábio GomesSouza, Edson de OliveiraSantiago, Dimas de BarrosSilva, Elania Barros daSilva, Melquizedeck Belo2021-12-06T10:13:53Zoai:ojs.pkp.sfu.ca:article/22990Revistahttps://rsdjournal.org/index.php/rsd/indexPUBhttps://rsdjournal.org/index.php/rsd/oairsd.articles@gmail.com2525-34092525-3409opendoar:2024-01-17T09:41:59.630769Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)false |
dc.title.none.fl_str_mv |
Dynamics of notified cases of dengue in Alagoas: Geospatialization and Applied Statistics Dinámica de casos notificados de dengue en Alagoas: Geoespacialización y Estadísticas Aplicadas Dinâmica dos casos notificados de dengue em Alagoas: Geoespacialização e Estatística Aplicada |
title |
Dynamics of notified cases of dengue in Alagoas: Geospatialization and Applied Statistics |
spellingShingle |
Dynamics of notified cases of dengue in Alagoas: Geospatialization and Applied Statistics Dynamics of notified cases of dengue in Alagoas: Geospatialization and Applied Statistics Silva, Silvania Donato da Dengue Estatística aplicada Urbanização Adensamento populacional Espaço-temporalidade. Dengue Applied statistics Urbanization Population density Space-temporality. Dengue Estadística aplicada Urbanización Densidad de población Espaciotemporal. Silva, Silvania Donato da Dengue Estatística aplicada Urbanização Adensamento populacional Espaço-temporalidade. Dengue Applied statistics Urbanization Population density Space-temporality. Dengue Estadística aplicada Urbanización Densidad de población Espaciotemporal. |
title_short |
Dynamics of notified cases of dengue in Alagoas: Geospatialization and Applied Statistics |
title_full |
Dynamics of notified cases of dengue in Alagoas: Geospatialization and Applied Statistics |
title_fullStr |
Dynamics of notified cases of dengue in Alagoas: Geospatialization and Applied Statistics Dynamics of notified cases of dengue in Alagoas: Geospatialization and Applied Statistics |
title_full_unstemmed |
Dynamics of notified cases of dengue in Alagoas: Geospatialization and Applied Statistics Dynamics of notified cases of dengue in Alagoas: Geospatialization and Applied Statistics |
title_sort |
Dynamics of notified cases of dengue in Alagoas: Geospatialization and Applied Statistics |
author |
Silva, Silvania Donato da |
author_facet |
Silva, Silvania Donato da Silva, Silvania Donato da Oliveira-Júnior, José Francisco de Correia Filho, Washington Luiz Félix Barros, Heliofábio Gomes Souza, Edson de Oliveira Santiago, Dimas de Barros Silva, Elania Barros da Silva, Melquizedeck Belo Oliveira-Júnior, José Francisco de Correia Filho, Washington Luiz Félix Barros, Heliofábio Gomes Souza, Edson de Oliveira Santiago, Dimas de Barros Silva, Elania Barros da Silva, Melquizedeck Belo |
author_role |
author |
author2 |
Oliveira-Júnior, José Francisco de Correia Filho, Washington Luiz Félix Barros, Heliofábio Gomes Souza, Edson de Oliveira Santiago, Dimas de Barros Silva, Elania Barros da Silva, Melquizedeck Belo |
author2_role |
author author author author author author author |
dc.contributor.author.fl_str_mv |
Silva, Silvania Donato da Oliveira-Júnior, José Francisco de Correia Filho, Washington Luiz Félix Barros, Heliofábio Gomes Souza, Edson de Oliveira Santiago, Dimas de Barros Silva, Elania Barros da Silva, Melquizedeck Belo |
dc.subject.por.fl_str_mv |
Dengue Estatística aplicada Urbanização Adensamento populacional Espaço-temporalidade. Dengue Applied statistics Urbanization Population density Space-temporality. Dengue Estadística aplicada Urbanización Densidad de población Espaciotemporal. |
topic |
Dengue Estatística aplicada Urbanização Adensamento populacional Espaço-temporalidade. Dengue Applied statistics Urbanization Population density Space-temporality. Dengue Estadística aplicada Urbanización Densidad de población Espaciotemporal. |
description |
The aim of the study was to evaluate the reported cases of dengue in the State of Alagoas via applied statistics and geospatialization.Dengue data were obtained from the DATASUS system between 2000 and 2015. The time series was submitted to descriptive and exploratory statistics and the Pettitt test. In the dengue case maps, the Spline method via QGis version 3.4 was used. In descriptive statistics, only 10 municipalities were evaluated based on the largest case records. All municipalities were above the average of dengue cases in 2010, the year of the biggest recent flood in the state. The boxplot pointed out that all 10 municipalities were positive asymmetric in a few months for dengue cases, the exception was Delmiro Gouveia. The Pettitt test identified biannual cycles (2006/2007 and 2009/2010) associated with the phases of ENSO (El Niño and La Niña) in the moderate category, followed by the months of January, February, April and December, corresponding to the performance of some systems synoptics. In the mapping of annual cases of dengue, the highest records occurred in the Agreste and East Alagoas. Geospatialization and applied statistics are efficient in the spatiotemporal evaluation of dengue cases in Alagoas. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-11-29 |
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://rsdjournal.org/index.php/rsd/article/view/22990 10.33448/rsd-v10i15.22990 |
url |
https://rsdjournal.org/index.php/rsd/article/view/22990 |
identifier_str_mv |
10.33448/rsd-v10i15.22990 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://rsdjournal.org/index.php/rsd/article/view/22990/20604 |
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 |
Research, Society and Development |
publisher.none.fl_str_mv |
Research, Society and Development |
dc.source.none.fl_str_mv |
Research, Society and Development; Vol. 10 No. 15; e415101522990 Research, Society and Development; Vol. 10 Núm. 15; e415101522990 Research, Society and Development; v. 10 n. 15; e415101522990 2525-3409 reponame:Research, Society and Development instname:Universidade Federal de Itajubá (UNIFEI) instacron:UNIFEI |
instname_str |
Universidade Federal de Itajubá (UNIFEI) |
instacron_str |
UNIFEI |
institution |
UNIFEI |
reponame_str |
Research, Society and Development |
collection |
Research, Society and Development |
repository.name.fl_str_mv |
Research, Society and Development - Universidade Federal de Itajubá (UNIFEI) |
repository.mail.fl_str_mv |
rsd.articles@gmail.com |
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1822178566447562752 |
dc.identifier.doi.none.fl_str_mv |
10.33448/rsd-v10i15.22990 |