Influence of climatic variables on the epidemiological situation of dengue in the Ceará- Brazil
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Research, Society and Development |
Texto Completo: | https://rsdjournal.org/index.php/rsd/article/view/20313 |
Resumo: | Dengue is a worldwide public health problem; studies show a correlation between dengue and climatic variables. Thus, this research aimed to investigate the correlation of the number of cases of patients with primary dengue symptoms (NCPPDS) with the compensated average temperature (TCA), average precipitation (PA) and compensated average relative humidity (RHCA) for the state of Ceará (2013-2018), in addition to identifying the municipalities most affected by the disease. For this analysis, institutional databases were collected and the data were compiled and processed through Statistical Package for the Social Science software. The association between climatic variables and NCPPDS was made using Pearson's correlation. It was noted that the city of Fortaleza was the municipality most affected by the disease, followed by its metropolitan region. Pearson's correlation was significant and inversely proportional between the NCPPDS and TCA in the years studied. In the NCPPDS analysis and PA, a directly proportional significant correlation was observed in the years 2013, 2017 and 2018. Regarding RHCA during the years 2013, 2015, 2017 and 2018, a directly proportional significant correlation to dengue cases was also observed. These results showed that precipitation and humidity directly influenced the number of dengue cases in the state of Ceará, and in accordance with studies in other Brazilian regions, these findings represent a general picture for dengue spreading. |
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Influence of climatic variables on the epidemiological situation of dengue in the Ceará- Brazil Influencia de las variables climáticas en la situación epidemiológica del dengue en Ceará-Brasil Influência das variáveis climáticas na situação epidemiológica da dengue no Ceará- BrasilDengueTemperaturaPrecipitaciónHumedad relativaCorrelación.DengueTemperaturaPrecipitaçãoUmidade relativaCorrelação.DengueTemperaturePrecipitationRelative humidityCorrelation.Dengue is a worldwide public health problem; studies show a correlation between dengue and climatic variables. Thus, this research aimed to investigate the correlation of the number of cases of patients with primary dengue symptoms (NCPPDS) with the compensated average temperature (TCA), average precipitation (PA) and compensated average relative humidity (RHCA) for the state of Ceará (2013-2018), in addition to identifying the municipalities most affected by the disease. For this analysis, institutional databases were collected and the data were compiled and processed through Statistical Package for the Social Science software. The association between climatic variables and NCPPDS was made using Pearson's correlation. It was noted that the city of Fortaleza was the municipality most affected by the disease, followed by its metropolitan region. Pearson's correlation was significant and inversely proportional between the NCPPDS and TCA in the years studied. In the NCPPDS analysis and PA, a directly proportional significant correlation was observed in the years 2013, 2017 and 2018. Regarding RHCA during the years 2013, 2015, 2017 and 2018, a directly proportional significant correlation to dengue cases was also observed. These results showed that precipitation and humidity directly influenced the number of dengue cases in the state of Ceará, and in accordance with studies in other Brazilian regions, these findings represent a general picture for dengue spreading.El dengue es un problema de salud pública mundial; los estudios muestran una correlación entre el dengue y las variables climáticas. Así, esta investigación tuvo como objetivo investigar la correlación del número de casos de pacientes con síntomas primarios de dengue (NCPPDS) con la temperatura media compensada (TCA), precipitación media (PA) y humedad relativa media compensada (RHCA) para el estado de Ceará (2013-2018), además de identificar las ciudades más afectadas por la enfermedad. Para este análisis, se recopilaron bases de datos institucionales y los datos se recopilaron y procesaron utilizando el software Statistical Package for Social Science. La asociación entre las variables climáticas y el NCPPDS se realizó mediante la correlación de Pearson. Como resultado, se observó que la ciudad de Fortaleza fue la ciudad más afectada por la enfermedad, seguida de su región metropolitana. En el análisis del NCPPDS y PA, se observó una correlación significativa directamente proporcional en los años 2013, 2017 y 2018. Con respecto a la RHCA durante los años 2013, 2015, 2017 y 2018, también se observó una correlación significativa directamente proporcional para los casos de dengue. Estos resultados mostraron que la precipitación y la humedad influyeron directamente en el número de casos de dengue en el estado de Ceará, y de acuerdo con estudios en otras regiones brasileñas, estos hallazgos representan un panorama general de la propagación del dengue.A dengue é um problema de saúde pública mundial; estudos mostram uma correlação entre dengue e variáveis climáticas. Assim, esta pesquisa teve como objetivo investigar a correlação do número de casos de pacientes com sintomas primários de dengue (NCPPDS) com a temperatura média compensada (TCA), precipitação média (PA) e umidade relativa média compensada (RHCA) para o estado do Ceará (2013-2018), além de identificar os municípios mais atingidos pela doença. Para essa análise, foram coletados bancos de dados institucionais e os dados foram compilados e tratados através software Statistical Package for the Social Science. A associação entre as variáveis climáticas e o NCPPDS foi feita pela correlação de Pearson. Como resultado notou-se que a cidade de Fortaleza, foi o município mais atingido pela doença, seguido de sua região metropolitana. Na análise do NCPPDS e PA, foi observada uma correlação significativa diretamente proporcional nos anos de 2013, 2017 e 2018. Com relação a RHCA durante os anos de 2013, 2015, 2017 e 2018, também foi observada uma correlação significativa diretamente proporcional para os casos de dengue. Esses resultados mostraram que a precipitação e a umidade influenciaram diretamente no número de casos de dengue no estado do Ceará, e de acordo com estudos em outros estados brasileiros estes achados representam um quadro geral para a disseminação da dengue.Research, Society and Development2021-09-17info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://rsdjournal.org/index.php/rsd/article/view/2031310.33448/rsd-v10i12.20313Research, Society and Development; Vol. 10 No. 12; e181101220313Research, Society and Development; Vol. 10 Núm. 12; e181101220313Research, Society and Development; v. 10 n. 12; e1811012203132525-3409reponame:Research, Society and Developmentinstname:Universidade Federal de Itajubá (UNIFEI)instacron:UNIFEIenghttps://rsdjournal.org/index.php/rsd/article/view/20313/18113Copyright (c) 2021 Selene Maia de Morais; Silvana Silveira de Fariashttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessMorais, Selene Maia deFarias, Silvana Silveira de2021-11-14T20:26:51Zoai:ojs.pkp.sfu.ca:article/20313Revistahttps://rsdjournal.org/index.php/rsd/indexPUBhttps://rsdjournal.org/index.php/rsd/oairsd.articles@gmail.com2525-34092525-3409opendoar:2024-01-17T09:40:00.136033Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)false |
dc.title.none.fl_str_mv |
Influence of climatic variables on the epidemiological situation of dengue in the Ceará- Brazil Influencia de las variables climáticas en la situación epidemiológica del dengue en Ceará-Brasil Influência das variáveis climáticas na situação epidemiológica da dengue no Ceará- Brasil |
title |
Influence of climatic variables on the epidemiological situation of dengue in the Ceará- Brazil |
spellingShingle |
Influence of climatic variables on the epidemiological situation of dengue in the Ceará- Brazil Morais, Selene Maia de Dengue Temperatura Precipitación Humedad relativa Correlación. Dengue Temperatura Precipitação Umidade relativa Correlação. Dengue Temperature Precipitation Relative humidity Correlation. |
title_short |
Influence of climatic variables on the epidemiological situation of dengue in the Ceará- Brazil |
title_full |
Influence of climatic variables on the epidemiological situation of dengue in the Ceará- Brazil |
title_fullStr |
Influence of climatic variables on the epidemiological situation of dengue in the Ceará- Brazil |
title_full_unstemmed |
Influence of climatic variables on the epidemiological situation of dengue in the Ceará- Brazil |
title_sort |
Influence of climatic variables on the epidemiological situation of dengue in the Ceará- Brazil |
author |
Morais, Selene Maia de |
author_facet |
Morais, Selene Maia de Farias, Silvana Silveira de |
author_role |
author |
author2 |
Farias, Silvana Silveira de |
author2_role |
author |
dc.contributor.author.fl_str_mv |
Morais, Selene Maia de Farias, Silvana Silveira de |
dc.subject.por.fl_str_mv |
Dengue Temperatura Precipitación Humedad relativa Correlación. Dengue Temperatura Precipitação Umidade relativa Correlação. Dengue Temperature Precipitation Relative humidity Correlation. |
topic |
Dengue Temperatura Precipitación Humedad relativa Correlación. Dengue Temperatura Precipitação Umidade relativa Correlação. Dengue Temperature Precipitation Relative humidity Correlation. |
description |
Dengue is a worldwide public health problem; studies show a correlation between dengue and climatic variables. Thus, this research aimed to investigate the correlation of the number of cases of patients with primary dengue symptoms (NCPPDS) with the compensated average temperature (TCA), average precipitation (PA) and compensated average relative humidity (RHCA) for the state of Ceará (2013-2018), in addition to identifying the municipalities most affected by the disease. For this analysis, institutional databases were collected and the data were compiled and processed through Statistical Package for the Social Science software. The association between climatic variables and NCPPDS was made using Pearson's correlation. It was noted that the city of Fortaleza was the municipality most affected by the disease, followed by its metropolitan region. Pearson's correlation was significant and inversely proportional between the NCPPDS and TCA in the years studied. In the NCPPDS analysis and PA, a directly proportional significant correlation was observed in the years 2013, 2017 and 2018. Regarding RHCA during the years 2013, 2015, 2017 and 2018, a directly proportional significant correlation to dengue cases was also observed. These results showed that precipitation and humidity directly influenced the number of dengue cases in the state of Ceará, and in accordance with studies in other Brazilian regions, these findings represent a general picture for dengue spreading. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-09-17 |
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/20313 10.33448/rsd-v10i12.20313 |
url |
https://rsdjournal.org/index.php/rsd/article/view/20313 |
identifier_str_mv |
10.33448/rsd-v10i12.20313 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://rsdjournal.org/index.php/rsd/article/view/20313/18113 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2021 Selene Maia de Morais; Silvana Silveira de Farias https://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2021 Selene Maia de Morais; Silvana Silveira de Farias 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. 12; e181101220313 Research, Society and Development; Vol. 10 Núm. 12; e181101220313 Research, Society and Development; v. 10 n. 12; e181101220313 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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1797052689890148352 |