Epidemiological analysis of dengue, in the micro-region Castanhal, state of Pará, Brazil, from 2016 to 2020
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Research, Society and Development |
Texto Completo: | https://rsdjournal.org/index.php/rsd/article/view/27706 |
Resumo: | Brazil is the most affected Latin American country by cases of dengue, which causes damage to health, with varying symptoms depending on the severity of the infection. Assessing the factors that contribute to the spread of this pathology is essential to help control it. An epidemiological, descriptive and cross-sectional study was carried out, with data obtained from the Sistema de Informação de Agravos de Notificação (SINAN), on the notifications of Dengue cases in the micro-region of Castanhal, in the state of Pará, between 2016 and 2020. searched for studies from the Biblioteca Virtual da Saúde (BVS), using the Bioestat software. Variables such as sex, race, age group, education, hospitalization and evolution were analyzed. The municipality most affected by dengue was the municipality of Castanhal, due to its greater urbanization in the region and problems in this process, accentuating the spread of Dengue. As for seasonality, the months from January to May had the highest number of cases. The epidemiological profile shows a higher incidence among males, brown people, and ages between 20 and 59 years. With little recorded evolution, however 29.5% indicated cure. For schooling, the highest indicators were “Ign/Branco” and complete high school. Furthermore, 63.57% of the cases did not require hospitalization. The analysis made it possible to identify the incidence of Dengue in the region; seasonally, there is proportionality with the increase in rainfall; regarding the epidemiological profile, no statistical importance was observed for the variable “sex”. The study is limited to identifying the causes for the sudden increase in 2018, as well as the high number of “Ign/Branco” responses in some variables. |
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Epidemiological analysis of dengue, in the micro-region Castanhal, state of Pará, Brazil, from 2016 to 2020Análisis epidemiológico del dengue, en la microrregión Castanhal, estado de Pará, Brasil, de 2016 a 2020Análise epidemiológica da dengue, na microrregião Castanhal, estado do Pará, Brasil, no período de 2016 a 2020EpidemiologiaDengueArbovirose.EpidemiologíaDengueInfecciones por Arbovirus.EpidemiologyDengueArbovirus infections.Brazil is the most affected Latin American country by cases of dengue, which causes damage to health, with varying symptoms depending on the severity of the infection. Assessing the factors that contribute to the spread of this pathology is essential to help control it. An epidemiological, descriptive and cross-sectional study was carried out, with data obtained from the Sistema de Informação de Agravos de Notificação (SINAN), on the notifications of Dengue cases in the micro-region of Castanhal, in the state of Pará, between 2016 and 2020. searched for studies from the Biblioteca Virtual da Saúde (BVS), using the Bioestat software. Variables such as sex, race, age group, education, hospitalization and evolution were analyzed. The municipality most affected by dengue was the municipality of Castanhal, due to its greater urbanization in the region and problems in this process, accentuating the spread of Dengue. As for seasonality, the months from January to May had the highest number of cases. The epidemiological profile shows a higher incidence among males, brown people, and ages between 20 and 59 years. With little recorded evolution, however 29.5% indicated cure. For schooling, the highest indicators were “Ign/Branco” and complete high school. Furthermore, 63.57% of the cases did not require hospitalization. The analysis made it possible to identify the incidence of Dengue in the region; seasonally, there is proportionality with the increase in rainfall; regarding the epidemiological profile, no statistical importance was observed for the variable “sex”. The study is limited to identifying the causes for the sudden increase in 2018, as well as the high number of “Ign/Branco” responses in some variables.Brasil es el país latinoamericano más afectado por casos de dengue, que causa daños a la salud, con síntomas variables según la gravedad de la infección. Evaluar los factores que contribuyen a la propagación de esta patología es fundamental para ayudar a controlarla. Se realizó un estudio epidemiológico, descriptivo y transversal, con datos obtenidos del Sistema de Informação de Agravos de Notificação (SINAN), sobre las notificaciones de casos de Dengue en la microrregión de Castanhal, en el estado de Pará, entre 2016 y 2020. buscó estudios de la Biblioteca Virtual da Saúde (BVS), utilizando el software Bioestat. Se analizaron variables como sexo, raza, grupo de edad, escolaridad, hospitalización y evolución. El municipio más afectado por el dengue fue el municipio de Castanhal, debido a su mayor urbanización en la región y problemas en este proceso, acentuando la propagación del Dengue. En cuanto a la estacionalidad, los meses de enero a mayo presentaron el mayor número de casos. El perfil epidemiológico muestra una mayor incidencia en el sexo masculino, pardos y edades entre 20 y 59 años. Con poca evolución registrada, sin embargo el 29,5% indicó curación. Para la escolaridad, los indicadores más altos fueron “Ign/Branco” y secundaria completa. Además, el 63,57% de los casos no requirieron hospitalización. El análisis permitió identificar la incidencia del Dengue en la región; estacionalmente, hay proporcionalidad con el aumento de las precipitaciones; en cuanto al perfil epidemiológico, no se observó importancia estadística para la variable “sexo”. El estudio se limita a identificar las causas del aumento repentino en 2018, así como el alto número de respuestas “Ign/Branco” en algunas variables.O Brasil é o país latino-americano mais afetado por casos de dengue, a qual gera prejuízos à saúde, com sintomas variados conforme a gravidade da infecção. Avaliar os fatores que contribuem para a propagação dessa patologia é fundamental para auxiliar seu controle. Realizou-se um estudo epidemiológico, descritivo e transversal, com dados obtidos do Sistema de Informações de Agravos de Notificação (SINAN), sobre as notificações de casos de Dengue na microrregião de Castanhal, no estado do Pará, entre 2016 a 2020. Também se buscou estudos da Biblioteca Virtual da Saúde (BVS), utilizando o software Bioestat. Analisou-se variáveis como sexo, raça, faixa etária, escolaridade, hospitalização e evolução. O município mais afetado pela dengue foi o município de Castanhal, em virtude da sua maior urbanização na região e problemáticas nesse processo, acentuando a disseminação da Dengue. Quanto à sazonalidade, meses de janeiro a maio apresentaram maiores quantidades de casos. O perfil epidemiológico evidencia maior incidência entre o sexo masculino, pessoas pardas, e idades entre 20 e 59 anos. Com evolução pouco registrada, contudo 29,5% indicou cura. Para escolaridade, os maiores indicadores foram “Ign/Branco” e ensino médio completo. Ademais, 63,57% dos casos não necessitaram hospitalização. A análise permitiu identificar a incidência da Dengue na região; sazonalmente, há proporcionalidade com o aumento dos índices pluviométricos; quanto ao perfil epidemiológico, não se observou importância estatística para variável “sexo”. O estudo limita-se na identificação das causas para o aumento súbito em 2018, outrossim o alto número de respostas “Ign/Branco” em algumas variáveis.Research, Society and Development2022-03-28info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://rsdjournal.org/index.php/rsd/article/view/2770610.33448/rsd-v11i5.27706Research, Society and Development; Vol. 11 No. 5; e1111527706Research, Society and Development; Vol. 11 Núm. 5; e1111527706Research, Society and Development; v. 11 n. 5; e11115277062525-3409reponame:Research, Society and Developmentinstname:Universidade Federal de Itajubá (UNIFEI)instacron:UNIFEIporhttps://rsdjournal.org/index.php/rsd/article/view/27706/24269Copyright (c) 2022 Renan Serrão de Souza; Gabriela Maués de Souza Martins; Esther de Seixas Moura; João Pedro Pires Porto; Vanessa Ribeiro Lopes; Danilo Mendoça de Oliveira; Alcinês da Silva Sousa Júniorhttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessSouza, Renan Serrão deMartins, Gabriela Maués de Souza Moura, Esther de Seixas Porto, João Pedro Pires Lopes, Vanessa Ribeiro Oliveira, Danilo Mendoça deSousa Júnior, Alcinês da Silva 2022-04-17T18:18:56Zoai:ojs.pkp.sfu.ca:article/27706Revistahttps://rsdjournal.org/index.php/rsd/indexPUBhttps://rsdjournal.org/index.php/rsd/oairsd.articles@gmail.com2525-34092525-3409opendoar:2024-01-17T09:45:20.604498Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)false |
dc.title.none.fl_str_mv |
Epidemiological analysis of dengue, in the micro-region Castanhal, state of Pará, Brazil, from 2016 to 2020 Análisis epidemiológico del dengue, en la microrregión Castanhal, estado de Pará, Brasil, de 2016 a 2020 Análise epidemiológica da dengue, na microrregião Castanhal, estado do Pará, Brasil, no período de 2016 a 2020 |
title |
Epidemiological analysis of dengue, in the micro-region Castanhal, state of Pará, Brazil, from 2016 to 2020 |
spellingShingle |
Epidemiological analysis of dengue, in the micro-region Castanhal, state of Pará, Brazil, from 2016 to 2020 Souza, Renan Serrão de Epidemiologia Dengue Arbovirose. Epidemiología Dengue Infecciones por Arbovirus. Epidemiology Dengue Arbovirus infections. |
title_short |
Epidemiological analysis of dengue, in the micro-region Castanhal, state of Pará, Brazil, from 2016 to 2020 |
title_full |
Epidemiological analysis of dengue, in the micro-region Castanhal, state of Pará, Brazil, from 2016 to 2020 |
title_fullStr |
Epidemiological analysis of dengue, in the micro-region Castanhal, state of Pará, Brazil, from 2016 to 2020 |
title_full_unstemmed |
Epidemiological analysis of dengue, in the micro-region Castanhal, state of Pará, Brazil, from 2016 to 2020 |
title_sort |
Epidemiological analysis of dengue, in the micro-region Castanhal, state of Pará, Brazil, from 2016 to 2020 |
author |
Souza, Renan Serrão de |
author_facet |
Souza, Renan Serrão de Martins, Gabriela Maués de Souza Moura, Esther de Seixas Porto, João Pedro Pires Lopes, Vanessa Ribeiro Oliveira, Danilo Mendoça de Sousa Júnior, Alcinês da Silva |
author_role |
author |
author2 |
Martins, Gabriela Maués de Souza Moura, Esther de Seixas Porto, João Pedro Pires Lopes, Vanessa Ribeiro Oliveira, Danilo Mendoça de Sousa Júnior, Alcinês da Silva |
author2_role |
author author author author author author |
dc.contributor.author.fl_str_mv |
Souza, Renan Serrão de Martins, Gabriela Maués de Souza Moura, Esther de Seixas Porto, João Pedro Pires Lopes, Vanessa Ribeiro Oliveira, Danilo Mendoça de Sousa Júnior, Alcinês da Silva |
dc.subject.por.fl_str_mv |
Epidemiologia Dengue Arbovirose. Epidemiología Dengue Infecciones por Arbovirus. Epidemiology Dengue Arbovirus infections. |
topic |
Epidemiologia Dengue Arbovirose. Epidemiología Dengue Infecciones por Arbovirus. Epidemiology Dengue Arbovirus infections. |
description |
Brazil is the most affected Latin American country by cases of dengue, which causes damage to health, with varying symptoms depending on the severity of the infection. Assessing the factors that contribute to the spread of this pathology is essential to help control it. An epidemiological, descriptive and cross-sectional study was carried out, with data obtained from the Sistema de Informação de Agravos de Notificação (SINAN), on the notifications of Dengue cases in the micro-region of Castanhal, in the state of Pará, between 2016 and 2020. searched for studies from the Biblioteca Virtual da Saúde (BVS), using the Bioestat software. Variables such as sex, race, age group, education, hospitalization and evolution were analyzed. The municipality most affected by dengue was the municipality of Castanhal, due to its greater urbanization in the region and problems in this process, accentuating the spread of Dengue. As for seasonality, the months from January to May had the highest number of cases. The epidemiological profile shows a higher incidence among males, brown people, and ages between 20 and 59 years. With little recorded evolution, however 29.5% indicated cure. For schooling, the highest indicators were “Ign/Branco” and complete high school. Furthermore, 63.57% of the cases did not require hospitalization. The analysis made it possible to identify the incidence of Dengue in the region; seasonally, there is proportionality with the increase in rainfall; regarding the epidemiological profile, no statistical importance was observed for the variable “sex”. The study is limited to identifying the causes for the sudden increase in 2018, as well as the high number of “Ign/Branco” responses in some variables. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-03-28 |
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/27706 10.33448/rsd-v11i5.27706 |
url |
https://rsdjournal.org/index.php/rsd/article/view/27706 |
identifier_str_mv |
10.33448/rsd-v11i5.27706 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://rsdjournal.org/index.php/rsd/article/view/27706/24269 |
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. 11 No. 5; e1111527706 Research, Society and Development; Vol. 11 Núm. 5; e1111527706 Research, Society and Development; v. 11 n. 5; e1111527706 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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1797052708354523136 |