Space-temporal analysis trend of the numbers of dengue cases in Pernambuco-Brazil

Detalhes bibliográficos
Autor(a) principal: Freitas, Jucarlos Rufino de
Data de Publicação: 2020
Outros Autores: Santiago, Edgo Jackson Pinto, Freitas, Juliano Carlo Rufino de, Silva, Antonio Samuel Alves da, Araújo Filho, Renisson Neponuceno de, Piscoya, Victor Casimiro, Cunha Filho, Moacyr
Tipo de documento: Artigo
Idioma: por
Título da fonte: Research, Society and Development
Texto Completo: https://rsdjournal.org/index.php/rsd/article/view/4427
Resumo: Dengue is an emerging infectious disease, transmitted by mosquitoes of the genus Aedes, particularly Ae. aegypti and Ae. albopictus. The tropical climate, vast territory and large flow of people in Brazil are factors that provide expressive epidemics of dengue vírus (DENV). In this context, the research aimed to analyze the space-temporal distribution of the trend of the numbers of dengue cases in Pernambuco state. The database was composed by weeklys epidemiological records about the dengue cases from 2000 to 2018, made available through the Information and Communication Secretariat (SIC). Spatial distribution of dengue clinical pictures demonstrated a high concentration on the coast of the state, with a higher frequency of cases in the Metropolitan Region of Recife (100%), followed by Mata Pernambucana (71,42%), Agreste Pernambucano (60,56%), San Francisco Pernambucano (60,0%) e Sertao Pernambucano (36,58%). Spatialization of the permitted trend outlines the epidemiological scenario of the numbers of dengue cases, consisting a tool capable of guiding strategic planning for epidemic control in Pernambuco in order to reduce the growth rampant of the disease.
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spelling Space-temporal analysis trend of the numbers of dengue cases in Pernambuco-BrazilTendencia espacio-temporal em el número de casos de dengue en Pernambuco-BrasilTendência espaço-temporal do número de casos de dengue em Pernambuco-BrasilDENVEpidemiologíaPruebasGeoprocesamiento.DENVEpidemiologiaTestesGeoprocessamentoDENVEpidemiologyTestsGeoprocessing.Dengue is an emerging infectious disease, transmitted by mosquitoes of the genus Aedes, particularly Ae. aegypti and Ae. albopictus. The tropical climate, vast territory and large flow of people in Brazil are factors that provide expressive epidemics of dengue vírus (DENV). In this context, the research aimed to analyze the space-temporal distribution of the trend of the numbers of dengue cases in Pernambuco state. The database was composed by weeklys epidemiological records about the dengue cases from 2000 to 2018, made available through the Information and Communication Secretariat (SIC). Spatial distribution of dengue clinical pictures demonstrated a high concentration on the coast of the state, with a higher frequency of cases in the Metropolitan Region of Recife (100%), followed by Mata Pernambucana (71,42%), Agreste Pernambucano (60,56%), San Francisco Pernambucano (60,0%) e Sertao Pernambucano (36,58%). Spatialization of the permitted trend outlines the epidemiological scenario of the numbers of dengue cases, consisting a tool capable of guiding strategic planning for epidemic control in Pernambuco in order to reduce the growth rampant of the disease.Dengue es una enfermedad infecciosa emergente, transmitida por mosquitos del género Aedes, particularmente Ae. aegypti y Ae. albopictus El clima tropical, el vasto territorio y el gran flujo de personas en Brasil son factores que proporcionan epidemias expresivo de virus dengue (DENV). En este contexto, esta investigación tuvo como objetivo analizar la distribución espacio-temporal de la tendencia en el número de casos de dengue en el estado de Pernambuco. La base de datos consistió en registros epidemiológicos semanales sobre los casos de dengue entre 2000 y 2018, disponibles a través de la Secretaría de Información y Comunicación (SIC). La distribución espacial de la tendencia de las condiciones clínicas del dengue mostró una alta concentración en la costa del estado, con una mayor frecuencia de casos en la Mesorregión Metropolitana de Recife (100%), seguido de la Mata Pernambucana (71,42%), del Agreste Pernambucano (60,56 %), del San Francisco Pernambucano (60,0%) y del Sertão Pernambucano (36,58%). La especialización de la tendencia permitió delinear el escenario epidemiológico del número de casos de dengue, constituyendo una herramienta capaz de guiar los planes estratégicos en el control de la epidemia en Pernambuco para reducir el crecimiento desenfrenado de la enfermedad.A dengue é uma doença infecciosa emergente, transmitida por mosquitos do gênero Aedes, particularmente Ae. aegypti e Ae. albopictus. O clima tropical, vasta extensão territorial e grande fluxo de pessoas no Brasil são fatores que propicia expressivas epidemias do vírus dengue (DENV). Neste contexto, a pesquisa objetivou analisar a distribuição espaço-temporal da tendência dos números de casos de dengue no estado de Pernambuco. A base de dados foi composta pelos registros epidemiológicos semanais sobre os casos de dengue de 2000 a 2018, disponibilizado através da Secretaria de Informação e Comunicação (SIC). A distribuição espacial da tendência dos quadros clínicos de dengue demonstrou concentração elevada no litoral do estado, com maior frequência de casos na Mesorregião Metropolitana do Recife (100%), seguida pela Mata Pernambucana (71,42%), Agreste Pernambucano (60,56%), São Francisco Pernambucano (60,0%) e Sertão Pernambucano (36,58%). A espacialização da tendência permitiu delinear o cenário epidemiológico dos números de casos dengue, constituindo numa ferramenta capaz de nortear planejamentos estratégicos no controle epidêmico em Pernambuco a fim de reduzir o crescimento desenfreado da doença.Research, Society and Development2020-05-25info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://rsdjournal.org/index.php/rsd/article/view/442710.33448/rsd-v9i7.4427Research, Society and Development; Vol. 9 No. 7; e526974427Research, Society and Development; Vol. 9 Núm. 7; e526974427Research, Society and Development; v. 9 n. 7; e5269744272525-3409reponame:Research, Society and Developmentinstname:Universidade Federal de Itajubá (UNIFEI)instacron:UNIFEIporhttps://rsdjournal.org/index.php/rsd/article/view/4427/3879Copyright (c) 2020 Jucarlos Rufino de Freitasinfo:eu-repo/semantics/openAccessFreitas, Jucarlos Rufino deSantiago, Edgo Jackson PintoFreitas, Juliano Carlo Rufino deSilva, Antonio Samuel Alves daAraújo Filho, Renisson Neponuceno dePiscoya, Victor CasimiroCunha Filho, Moacyr2020-08-20T18:05:03Zoai:ojs.pkp.sfu.ca:article/4427Revistahttps://rsdjournal.org/index.php/rsd/indexPUBhttps://rsdjournal.org/index.php/rsd/oairsd.articles@gmail.com2525-34092525-3409opendoar:2024-01-17T09:28:17.307703Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)false
dc.title.none.fl_str_mv Space-temporal analysis trend of the numbers of dengue cases in Pernambuco-Brazil
Tendencia espacio-temporal em el número de casos de dengue en Pernambuco-Brasil
Tendência espaço-temporal do número de casos de dengue em Pernambuco-Brasil
title Space-temporal analysis trend of the numbers of dengue cases in Pernambuco-Brazil
spellingShingle Space-temporal analysis trend of the numbers of dengue cases in Pernambuco-Brazil
Freitas, Jucarlos Rufino de
DENV
Epidemiología
Pruebas
Geoprocesamiento.
DENV
Epidemiologia
Testes
Geoprocessamento
DENV
Epidemiology
Tests
Geoprocessing.
title_short Space-temporal analysis trend of the numbers of dengue cases in Pernambuco-Brazil
title_full Space-temporal analysis trend of the numbers of dengue cases in Pernambuco-Brazil
title_fullStr Space-temporal analysis trend of the numbers of dengue cases in Pernambuco-Brazil
title_full_unstemmed Space-temporal analysis trend of the numbers of dengue cases in Pernambuco-Brazil
title_sort Space-temporal analysis trend of the numbers of dengue cases in Pernambuco-Brazil
author Freitas, Jucarlos Rufino de
author_facet Freitas, Jucarlos Rufino de
Santiago, Edgo Jackson Pinto
Freitas, Juliano Carlo Rufino de
Silva, Antonio Samuel Alves da
Araújo Filho, Renisson Neponuceno de
Piscoya, Victor Casimiro
Cunha Filho, Moacyr
author_role author
author2 Santiago, Edgo Jackson Pinto
Freitas, Juliano Carlo Rufino de
Silva, Antonio Samuel Alves da
Araújo Filho, Renisson Neponuceno de
Piscoya, Victor Casimiro
Cunha Filho, Moacyr
author2_role author
author
author
author
author
author
dc.contributor.author.fl_str_mv Freitas, Jucarlos Rufino de
Santiago, Edgo Jackson Pinto
Freitas, Juliano Carlo Rufino de
Silva, Antonio Samuel Alves da
Araújo Filho, Renisson Neponuceno de
Piscoya, Victor Casimiro
Cunha Filho, Moacyr
dc.subject.por.fl_str_mv DENV
Epidemiología
Pruebas
Geoprocesamiento.
DENV
Epidemiologia
Testes
Geoprocessamento
DENV
Epidemiology
Tests
Geoprocessing.
topic DENV
Epidemiología
Pruebas
Geoprocesamiento.
DENV
Epidemiologia
Testes
Geoprocessamento
DENV
Epidemiology
Tests
Geoprocessing.
description Dengue is an emerging infectious disease, transmitted by mosquitoes of the genus Aedes, particularly Ae. aegypti and Ae. albopictus. The tropical climate, vast territory and large flow of people in Brazil are factors that provide expressive epidemics of dengue vírus (DENV). In this context, the research aimed to analyze the space-temporal distribution of the trend of the numbers of dengue cases in Pernambuco state. The database was composed by weeklys epidemiological records about the dengue cases from 2000 to 2018, made available through the Information and Communication Secretariat (SIC). Spatial distribution of dengue clinical pictures demonstrated a high concentration on the coast of the state, with a higher frequency of cases in the Metropolitan Region of Recife (100%), followed by Mata Pernambucana (71,42%), Agreste Pernambucano (60,56%), San Francisco Pernambucano (60,0%) e Sertao Pernambucano (36,58%). Spatialization of the permitted trend outlines the epidemiological scenario of the numbers of dengue cases, consisting a tool capable of guiding strategic planning for epidemic control in Pernambuco in order to reduce the growth rampant of the disease.
publishDate 2020
dc.date.none.fl_str_mv 2020-05-25
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/4427
10.33448/rsd-v9i7.4427
url https://rsdjournal.org/index.php/rsd/article/view/4427
identifier_str_mv 10.33448/rsd-v9i7.4427
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://rsdjournal.org/index.php/rsd/article/view/4427/3879
dc.rights.driver.fl_str_mv Copyright (c) 2020 Jucarlos Rufino de Freitas
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2020 Jucarlos Rufino de Freitas
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. 9 No. 7; e526974427
Research, Society and Development; Vol. 9 Núm. 7; e526974427
Research, Society and Development; v. 9 n. 7; e526974427
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
_version_ 1797052649966665728

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