Spatial analysis of the main determinants and indicators associated with diarrhea mortality in the state of Ceará in the past ten years
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/28274 |
Resumo: | Objective: To carry out a spatial analysis of the main determinants and indicators associated with mortality from diarrhea in the state of Ceará in the last ten years. Methodology: Ecological study, using the Mortality Information System as a data source, considering death from diarrheal disease during the period from 2008 to 2017. For spatial analysis, a map of the mortality rate of each municipality was created and these rates were smoothed using the local empirical Bayesian method. The Local Index of Spatial Association autocorrelation was evaluated by the Local Moran Index. The calculations of the raw and smoothed rate as well as the Moran scattering index and its significance were performed by the TerraView 4.2.2 software. All maps were produced in QGIS 2.4.17 software. Results: In the spatial autocorrelation analysis, the Global Moran Index was equal to 0.14 with p=0.02, indicating a positive spatial autocorrelation. The temporal evolution of the diarrhea mortality rate between the years 2008 and 2017 in the state of Ceará is evidenced. There was a decrease in cases in 2012 and a considerable increase in mortality from diarrheal diseases in 2017. It is inferred that in the years 2014, 2015, 2016 and 2017 there was an increase in cases, being prevalent in the municipalities of Barroquinhas, Frecheiras, Mucambo, Pacujá and Fortim; Amontada; Sobral; Senador Pompeu e Groaíras, respectively. Conclusion: Infant mortality in Ceará caused by diarrhea suffered declines and rises in the analyzed period, not observing a constancy of this process, still presenting important differences between the microregions under study. |
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Spatial analysis of the main determinants and indicators associated with diarrhea mortality in the state of Ceará in the past ten yearsAnálisis espacial de los principales determinantes e indicadores asociados a la mortalidad por diarrea en el estado de Ceará en los últimos diez añosAnálise espacial dos principais determinantes e indicadores associados a mortalidade por diarreia no estado do Ceará nos últimos dez anosDiarreaVigilancia de la saludEpidemiología.DiarreiaVigilância em SaúdeEpidemiologia.DiarrheaHealth surveillanceEpidemiology.Objective: To carry out a spatial analysis of the main determinants and indicators associated with mortality from diarrhea in the state of Ceará in the last ten years. Methodology: Ecological study, using the Mortality Information System as a data source, considering death from diarrheal disease during the period from 2008 to 2017. For spatial analysis, a map of the mortality rate of each municipality was created and these rates were smoothed using the local empirical Bayesian method. The Local Index of Spatial Association autocorrelation was evaluated by the Local Moran Index. The calculations of the raw and smoothed rate as well as the Moran scattering index and its significance were performed by the TerraView 4.2.2 software. All maps were produced in QGIS 2.4.17 software. Results: In the spatial autocorrelation analysis, the Global Moran Index was equal to 0.14 with p=0.02, indicating a positive spatial autocorrelation. The temporal evolution of the diarrhea mortality rate between the years 2008 and 2017 in the state of Ceará is evidenced. There was a decrease in cases in 2012 and a considerable increase in mortality from diarrheal diseases in 2017. It is inferred that in the years 2014, 2015, 2016 and 2017 there was an increase in cases, being prevalent in the municipalities of Barroquinhas, Frecheiras, Mucambo, Pacujá and Fortim; Amontada; Sobral; Senador Pompeu e Groaíras, respectively. Conclusion: Infant mortality in Ceará caused by diarrhea suffered declines and rises in the analyzed period, not observing a constancy of this process, still presenting important differences between the microregions under study.Objetivo: Realizar un análisis espacial de los principales determinantes e indicadores asociados a la mortalidad por diarrea en el estado de Ceará en los últimos diez años. Metodología: Estudio ecológico, utilizando como fuente de datos el Sistema de Información de Mortalidad, considerando la defunción por enfermedad diarreica en el período 2008 a 2017. Para el análisis espacial se elaboró un mapa de la tasa de mortalidad de cada municipio y estas tasas se suavizaron utilizando el método bayesiano empírico local. La autocorrelación del Índice Local de Asociación Espacial fue evaluada por el Índice Local de Moran. Los cálculos de la tasa sin procesar y suavizada, así como el índice de dispersión de Moran y su significado, se realizaron con el software TerraView 4.2.2. Todos los mapas se produjeron en el software QGIS 2.4.17. Resultados: En el análisis de autocorrelación espacial, el Índice Moran Global fue igual a 0,14 con p=0,02, indicando una autocorrelación espacial positiva. Se evidencia la evolución temporal de la tasa de mortalidad por diarrea entre los años 2008 y 2017 en el estado de Ceará. Hubo disminución de casos en 2012 y aumento considerable de la mortalidad por enfermedades diarreicas en 2017. Se infiere que en los años 2014, 2015, 2016 y 2017 hubo aumento de casos, siendo prevalente en los municipios de Barroquinhas, Frecheiras , Mucambo, Pacujá y Fortim; apilado; sobral; Senador Pompeu y Groaíras, respectivamente. Conclusión: La mortalidad infantil en Ceará causada por diarrea sufrió descensos y aumentos en el período analizado, no observándose una constancia de este proceso, aún presentando diferencias importantes entre las microrregiones en estudio.Objetivo: Realizar análise espacial dos principais determinantes e indicadores associados a mortalidade por diarreia no estado do Ceará nos últimos dez anos. Metodologia: Estudo ecológico, utilizado como fonte de dados o Sistema de Informação de Mortalidade, considerando o óbito por doença diarreica durante o período de 2008 a 2017. Para a análise espacial, foi criado o mapa da taxa de mortalidade de cada município e essas taxas foram suavizadas por meio do método bayesiano empírico local. Avaliou-se a autocorrelação Local Index of Spatial Association pelo Índice de Moran Local. Os cálculos da taxa bruta e suavizada assim como a o Índice de espalhamento de Moran e sua significância foram feitos pelo software TerraView 4.2.2. Todos os mapas foram produzidos no software QGIS 2.4.17. Resultados: Na análise de autocorrelação espacial, o Índice de Moran Global foi igual a 0,14 com p=0,02, indicando uma autocorrelação espacial positiva. Evidencia-se a evolução temporal da taxa de mortalidade por diarreia entre os anos de 2008 e 2017, no estado do Ceará. Constatou-se diminuição dos casos no ano 2012 e aumento considerável de mortalidade por doenças diarreicas no ano de 2017. Infere-se que nos anos de 2014, 2015, 2016 e 2017 houve aumento dos casos, sendo prevalentes nos municípios de Barroquinhas, Frecheiras, Mucambo, Pacujá e Fortim; Amontada; Sobral; Senador Pompeu e Groaíras, respectivamente. Conclusão: A mortalidade infantil no Ceará causada por diarreia sofreu declínios e ascensões no período analisado, não observando uma constância desse processo, apresentando ainda importantes diferenças entre as microrregiões em estudo.Research, Society and Development2022-04-12info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://rsdjournal.org/index.php/rsd/article/view/2827410.33448/rsd-v11i5.28274Research, Society and Development; Vol. 11 No. 5; e44811528274Research, Society and Development; Vol. 11 Núm. 5; e44811528274Research, Society and Development; v. 11 n. 5; e448115282742525-3409reponame:Research, Society and Developmentinstname:Universidade Federal de Itajubá (UNIFEI)instacron:UNIFEIporhttps://rsdjournal.org/index.php/rsd/article/view/28274/24734Copyright (c) 2022 Adriana de Moraes Bezerra; Kelly Fernanda Silva Santana; Naanda Kaanna Matos de Souza; João Paulo Xavier Silva; Lucas Dias Soares Machado; Nayara Santana Brito; Robson Leite Sampaio; Anilton Jorge da Nóbrega Gonçalveshttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccess Bezerra, Adriana de MoraesSantana, Kelly Fernanda Silva Souza, Naanda Kaanna Matos de Silva, João Paulo XavierMachado, Lucas Dias Soares Brito, Nayara SantanaSampaio, Robson LeiteGonçalves, Anilton Jorge da Nóbrega2022-04-17T18:18:56Zoai:ojs.pkp.sfu.ca:article/28274Revistahttps://rsdjournal.org/index.php/rsd/indexPUBhttps://rsdjournal.org/index.php/rsd/oairsd.articles@gmail.com2525-34092525-3409opendoar:2024-01-17T09:45:43.957420Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)false |
dc.title.none.fl_str_mv |
Spatial analysis of the main determinants and indicators associated with diarrhea mortality in the state of Ceará in the past ten years Análisis espacial de los principales determinantes e indicadores asociados a la mortalidad por diarrea en el estado de Ceará en los últimos diez años Análise espacial dos principais determinantes e indicadores associados a mortalidade por diarreia no estado do Ceará nos últimos dez anos |
title |
Spatial analysis of the main determinants and indicators associated with diarrhea mortality in the state of Ceará in the past ten years |
spellingShingle |
Spatial analysis of the main determinants and indicators associated with diarrhea mortality in the state of Ceará in the past ten years Bezerra, Adriana de Moraes Diarrea Vigilancia de la salud Epidemiología. Diarreia Vigilância em Saúde Epidemiologia. Diarrhea Health surveillance Epidemiology. |
title_short |
Spatial analysis of the main determinants and indicators associated with diarrhea mortality in the state of Ceará in the past ten years |
title_full |
Spatial analysis of the main determinants and indicators associated with diarrhea mortality in the state of Ceará in the past ten years |
title_fullStr |
Spatial analysis of the main determinants and indicators associated with diarrhea mortality in the state of Ceará in the past ten years |
title_full_unstemmed |
Spatial analysis of the main determinants and indicators associated with diarrhea mortality in the state of Ceará in the past ten years |
title_sort |
Spatial analysis of the main determinants and indicators associated with diarrhea mortality in the state of Ceará in the past ten years |
author |
Bezerra, Adriana de Moraes |
author_facet |
Bezerra, Adriana de Moraes Santana, Kelly Fernanda Silva Souza, Naanda Kaanna Matos de Silva, João Paulo Xavier Machado, Lucas Dias Soares Brito, Nayara Santana Sampaio, Robson Leite Gonçalves, Anilton Jorge da Nóbrega |
author_role |
author |
author2 |
Santana, Kelly Fernanda Silva Souza, Naanda Kaanna Matos de Silva, João Paulo Xavier Machado, Lucas Dias Soares Brito, Nayara Santana Sampaio, Robson Leite Gonçalves, Anilton Jorge da Nóbrega |
author2_role |
author author author author author author author |
dc.contributor.author.fl_str_mv |
Bezerra, Adriana de Moraes Santana, Kelly Fernanda Silva Souza, Naanda Kaanna Matos de Silva, João Paulo Xavier Machado, Lucas Dias Soares Brito, Nayara Santana Sampaio, Robson Leite Gonçalves, Anilton Jorge da Nóbrega |
dc.subject.por.fl_str_mv |
Diarrea Vigilancia de la salud Epidemiología. Diarreia Vigilância em Saúde Epidemiologia. Diarrhea Health surveillance Epidemiology. |
topic |
Diarrea Vigilancia de la salud Epidemiología. Diarreia Vigilância em Saúde Epidemiologia. Diarrhea Health surveillance Epidemiology. |
description |
Objective: To carry out a spatial analysis of the main determinants and indicators associated with mortality from diarrhea in the state of Ceará in the last ten years. Methodology: Ecological study, using the Mortality Information System as a data source, considering death from diarrheal disease during the period from 2008 to 2017. For spatial analysis, a map of the mortality rate of each municipality was created and these rates were smoothed using the local empirical Bayesian method. The Local Index of Spatial Association autocorrelation was evaluated by the Local Moran Index. The calculations of the raw and smoothed rate as well as the Moran scattering index and its significance were performed by the TerraView 4.2.2 software. All maps were produced in QGIS 2.4.17 software. Results: In the spatial autocorrelation analysis, the Global Moran Index was equal to 0.14 with p=0.02, indicating a positive spatial autocorrelation. The temporal evolution of the diarrhea mortality rate between the years 2008 and 2017 in the state of Ceará is evidenced. There was a decrease in cases in 2012 and a considerable increase in mortality from diarrheal diseases in 2017. It is inferred that in the years 2014, 2015, 2016 and 2017 there was an increase in cases, being prevalent in the municipalities of Barroquinhas, Frecheiras, Mucambo, Pacujá and Fortim; Amontada; Sobral; Senador Pompeu e Groaíras, respectively. Conclusion: Infant mortality in Ceará caused by diarrhea suffered declines and rises in the analyzed period, not observing a constancy of this process, still presenting important differences between the microregions under study. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-04-12 |
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/28274 10.33448/rsd-v11i5.28274 |
url |
https://rsdjournal.org/index.php/rsd/article/view/28274 |
identifier_str_mv |
10.33448/rsd-v11i5.28274 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://rsdjournal.org/index.php/rsd/article/view/28274/24734 |
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; e44811528274 Research, Society and Development; Vol. 11 Núm. 5; e44811528274 Research, Society and Development; v. 11 n. 5; e44811528274 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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1797052709326553088 |