Analysis of climatic variations in the occurrence of Respiratory diseases by influenza in elderly people in the metropolitan region of João Pessoa - PB

Detalhes bibliográficos
Autor(a) principal: Azevedo, Jullianna Vitorio Vieira de
Data de Publicação: 2017
Outros Autores: Santos, Carlos A. C. dos, Silva, Madson Tavares, Olinda, Ricardo Alves de, Santos, Débora Aparecida da Silva
Tipo de documento: Artigo
Idioma: por
Título da fonte: Sociedade & natureza (Online)
Texto Completo: https://seer.ufu.br/index.php/sociedadenatureza/article/view/35118
Resumo: his work aimed to evaluate the effects of seasonal climatic variations in the incidence of respiratory diseases by influenza (PI) in the elderly population in the region of metropolitan João Pessoa in the state of Paraíba. Generalized linear models from the linear Poisson regression to relate the dependent variable set to the records of hospitalizations for causes associated with influenza and the independent variables (rainfall, average air temperature and relative humidity) to analyze the relations established by modeling has been used. Aditionally,was applied ANOVA variance test with a significance level of 0.05 of probability to determine which independent variables is more significant. Also the residual generated by adjusting the models in order to identify the distribution that best fitted the data were analyzed. All static analysis was performed using R software. In general is possible to identify that the highest peaks of hospitalizations for PI occur in autumn and winter. Therefore, these results suggest an association between cold and hospitalizations for IP. Statistical modeling performed satisfactory for analysis of the cases of hospitalizations for IP. However, the deepening of these temporal analysis is necessary because health depends not only on environmental factors.
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spelling Analysis of climatic variations in the occurrence of Respiratory diseases by influenza in elderly people in the metropolitan region of João Pessoa - PBAnálise das variações climáticas na ocorrência de doenças respiratórias por influenza em idosos na região metropolitana de João Pessoa - PB doenças respiratóriasvariáveis climáticasregressão de Poissonsoftware R.Poisson RegressionRespiratory DiseasesMeteorological VariablesSoftware Rhis work aimed to evaluate the effects of seasonal climatic variations in the incidence of respiratory diseases by influenza (PI) in the elderly population in the region of metropolitan João Pessoa in the state of Paraíba. Generalized linear models from the linear Poisson regression to relate the dependent variable set to the records of hospitalizations for causes associated with influenza and the independent variables (rainfall, average air temperature and relative humidity) to analyze the relations established by modeling has been used. Aditionally,was applied ANOVA variance test with a significance level of 0.05 of probability to determine which independent variables is more significant. Also the residual generated by adjusting the models in order to identify the distribution that best fitted the data were analyzed. All static analysis was performed using R software. In general is possible to identify that the highest peaks of hospitalizations for PI occur in autumn and winter. Therefore, these results suggest an association between cold and hospitalizations for IP. Statistical modeling performed satisfactory for analysis of the cases of hospitalizations for IP. However, the deepening of these temporal analysis is necessary because health depends not only on environmental factors.Neste trabalho objetivou-se avaliar os efeitos das variações sazonais do clima na ocorrência de internações por doenças respiratórias por Influenza e Pneumonia (PI) na população idosa da Região Metropolitana de João Pessoa (RMJP) no Estado da Paraíba. Para isso, foram usados modelos lineares generalizados a partir da regressão linear de Poisson para relacionar a variável dependente configurada como os registros de internações por causas associadas à influenza e as variáveis independentes (precipitação pluvial, temperatura média do ar e umidade relativa do ar), para análise das relações instituídas pela modelagem foi aplicado o teste de variância ANOVA com nível de significância de 0,05 de probabilidade para determinar que variáveis independentes eram mais significativas na modelagem. Também foram analisados os resíduos gerados pelo ajuste dos modelos no intuito de identificar a distribuição que melhor se ajustasse aos dados. Toda análise estática foi realizada no software R. De forma geral verificou-se que os maiores picos de internações por PI ocorrem no outono e inverno. Portanto, esses resultados sugerem uma associação entre o frio e as internações por PI. A modelagem estatística se apresentou satisfatória para análise dos casos de internações por PI, no entanto, é necessário o aprofundamento dessas análises temporais, visto que o problema de internações é multicausal e não, necessariamente, consequência somente de alterações climáticas.Universidade Federal de Uberlândia2017-05-18info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://seer.ufu.br/index.php/sociedadenatureza/article/view/3511810.14393/SN-v29n1-2017-8Sociedade & Natureza; Vol. 29 No. 1 (2017)Sociedade & Natureza; v. 29 n. 1 (2017)1982-45130103-1570reponame:Sociedade & natureza (Online)instname:Universidade Federal de Uberlândia (UFU)instacron:UFUporhttps://seer.ufu.br/index.php/sociedadenatureza/article/view/35118/pdfCopyright (c) 2017 Revista Sociedade & Naturezainfo:eu-repo/semantics/openAccessAzevedo, Jullianna Vitorio Vieira deSantos, Carlos A. C. dosSilva, Madson TavaresOlinda, Ricardo Alves deSantos, Débora Aparecida da Silva2021-04-30T13:56:41Zoai:ojs.www.seer.ufu.br:article/35118Revistahttp://www.sociedadenatureza.ig.ufu.br/PUBhttps://seer.ufu.br/index.php/sociedadenatureza/oai||sociedade.natureza.ufu@gmail.com|| lucianamelo@ufu.br1982-45130103-1570opendoar:2021-04-30T13:56:41Sociedade & natureza (Online) - Universidade Federal de Uberlândia (UFU)false
dc.title.none.fl_str_mv Analysis of climatic variations in the occurrence of Respiratory diseases by influenza in elderly people in the metropolitan region of João Pessoa - PB
Análise das variações climáticas na ocorrência de doenças respiratórias por influenza em idosos na região metropolitana de João Pessoa - PB
title Analysis of climatic variations in the occurrence of Respiratory diseases by influenza in elderly people in the metropolitan region of João Pessoa - PB
spellingShingle Analysis of climatic variations in the occurrence of Respiratory diseases by influenza in elderly people in the metropolitan region of João Pessoa - PB
Azevedo, Jullianna Vitorio Vieira de
doenças respiratórias
variáveis climáticas
regressão de Poisson
software R.
Poisson Regression
Respiratory Diseases
Meteorological Variables
Software R
title_short Analysis of climatic variations in the occurrence of Respiratory diseases by influenza in elderly people in the metropolitan region of João Pessoa - PB
title_full Analysis of climatic variations in the occurrence of Respiratory diseases by influenza in elderly people in the metropolitan region of João Pessoa - PB
title_fullStr Analysis of climatic variations in the occurrence of Respiratory diseases by influenza in elderly people in the metropolitan region of João Pessoa - PB
title_full_unstemmed Analysis of climatic variations in the occurrence of Respiratory diseases by influenza in elderly people in the metropolitan region of João Pessoa - PB
title_sort Analysis of climatic variations in the occurrence of Respiratory diseases by influenza in elderly people in the metropolitan region of João Pessoa - PB
author Azevedo, Jullianna Vitorio Vieira de
author_facet Azevedo, Jullianna Vitorio Vieira de
Santos, Carlos A. C. dos
Silva, Madson Tavares
Olinda, Ricardo Alves de
Santos, Débora Aparecida da Silva
author_role author
author2 Santos, Carlos A. C. dos
Silva, Madson Tavares
Olinda, Ricardo Alves de
Santos, Débora Aparecida da Silva
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Azevedo, Jullianna Vitorio Vieira de
Santos, Carlos A. C. dos
Silva, Madson Tavares
Olinda, Ricardo Alves de
Santos, Débora Aparecida da Silva
dc.subject.por.fl_str_mv doenças respiratórias
variáveis climáticas
regressão de Poisson
software R.
Poisson Regression
Respiratory Diseases
Meteorological Variables
Software R
topic doenças respiratórias
variáveis climáticas
regressão de Poisson
software R.
Poisson Regression
Respiratory Diseases
Meteorological Variables
Software R
description his work aimed to evaluate the effects of seasonal climatic variations in the incidence of respiratory diseases by influenza (PI) in the elderly population in the region of metropolitan João Pessoa in the state of Paraíba. Generalized linear models from the linear Poisson regression to relate the dependent variable set to the records of hospitalizations for causes associated with influenza and the independent variables (rainfall, average air temperature and relative humidity) to analyze the relations established by modeling has been used. Aditionally,was applied ANOVA variance test with a significance level of 0.05 of probability to determine which independent variables is more significant. Also the residual generated by adjusting the models in order to identify the distribution that best fitted the data were analyzed. All static analysis was performed using R software. In general is possible to identify that the highest peaks of hospitalizations for PI occur in autumn and winter. Therefore, these results suggest an association between cold and hospitalizations for IP. Statistical modeling performed satisfactory for analysis of the cases of hospitalizations for IP. However, the deepening of these temporal analysis is necessary because health depends not only on environmental factors.
publishDate 2017
dc.date.none.fl_str_mv 2017-05-18
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://seer.ufu.br/index.php/sociedadenatureza/article/view/35118
10.14393/SN-v29n1-2017-8
url https://seer.ufu.br/index.php/sociedadenatureza/article/view/35118
identifier_str_mv 10.14393/SN-v29n1-2017-8
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://seer.ufu.br/index.php/sociedadenatureza/article/view/35118/pdf
dc.rights.driver.fl_str_mv Copyright (c) 2017 Revista Sociedade & Natureza
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2017 Revista Sociedade & Natureza
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Federal de Uberlândia
publisher.none.fl_str_mv Universidade Federal de Uberlândia
dc.source.none.fl_str_mv Sociedade & Natureza; Vol. 29 No. 1 (2017)
Sociedade & Natureza; v. 29 n. 1 (2017)
1982-4513
0103-1570
reponame:Sociedade & natureza (Online)
instname:Universidade Federal de Uberlândia (UFU)
instacron:UFU
instname_str Universidade Federal de Uberlândia (UFU)
instacron_str UFU
institution UFU
reponame_str Sociedade & natureza (Online)
collection Sociedade & natureza (Online)
repository.name.fl_str_mv Sociedade & natureza (Online) - Universidade Federal de Uberlândia (UFU)
repository.mail.fl_str_mv ||sociedade.natureza.ufu@gmail.com|| lucianamelo@ufu.br
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