Temporal series of infant deaths in the State of Roraima
Autor(a) principal: | |
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Data de Publicação: | 2021 |
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/12325 |
Resumo: | The objective was to analyze the infant deaths that occurred in the State of Roraima between the years 2010 to 2017. This is an ecological study of time series, delimiting the state of Roraima, dividing into counties and time (years), through the analysis of secondary data generated from the Mortality Information System, made available by the Informatics Department of the Unified Health System. The study showed that there was no reduction in infant death, showing a positive trend (0.137 tau), although not significant (value p of 0.449). The three-year period from 2015 to 2017 had the highest average mortality rate (19.3 / 1000). Uiramutã was the county with the highest rate (47.2 / 1000), in 2017; infant mortality rates are higher in counties with indigenous populations, showing regional specificities. It is concluded that it is necessary to reformulate the state health policies, which meets the needs and the distinct specificities of the population and that guarantees equal access to public health policies. |
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Temporal series of infant deaths in the State of RoraimaSerie temporal de los fallecimientos infantiles en el Estado de RoraimaSerie Temporal dos óbitos infantis no Estado de RoraimaMortalidade InfantilPopulação IndígenaEpidemiologiaSaúde pública.Mortalidad infantilPoblación indígenaEpidemiologíaSalud pública.Infant MortalityIndigenous PopulationEpidemiologyPublic health.The objective was to analyze the infant deaths that occurred in the State of Roraima between the years 2010 to 2017. This is an ecological study of time series, delimiting the state of Roraima, dividing into counties and time (years), through the analysis of secondary data generated from the Mortality Information System, made available by the Informatics Department of the Unified Health System. The study showed that there was no reduction in infant death, showing a positive trend (0.137 tau), although not significant (value p of 0.449). The three-year period from 2015 to 2017 had the highest average mortality rate (19.3 / 1000). Uiramutã was the county with the highest rate (47.2 / 1000), in 2017; infant mortality rates are higher in counties with indigenous populations, showing regional specificities. It is concluded that it is necessary to reformulate the state health policies, which meets the needs and the distinct specificities of the population and that guarantees equal access to public health policies.El objetivo fue analizar los fallecimientos infantiles ocurridos en el estado de Roraima entre los años 2010 y 2017. Se trata de un estudio ecológico de series temporales, delimitándose al estado de Roraima, dividido en municipios y tiempo (años), por medio del análisis de los estudios secundarios generados a partir del sistema de información de mortalidad, proveídos por el sistema único de salud. El estudio demostró que no hubo reducción de la mortalidad infantil, presentando una tendencia positiva (tal de 0,137), por ende, no significativa (valor p de 0,449). El trienio de 2015 a 2017 presentó una mayor tasa de mortalidad (19,3/1000). Uramutá fue el municipio con la mayor tasa (42,2/1000), en 2017. Los coeficientes de mortalidad fueron mayores en los municipios con poblaciones indígenas, evidenciando especificidades regionales. Se concluye que se necesitan replanteamientos en las políticas públicas de salud.O objetivo foi analisar os óbitos infantis ocorridos no Estado de Roraima entre os anos de 2010 a 2017. Trata-se de um estudo ecológico de séries temporais, delimitando-se ao estado de Roraima, dividindo em municípios e tempo (anos), por meio da análise dos dados secundários gerados a partir do Sistema de Informação Mortalidade, disponibilizados pelo Departamento de Informática do Sistema Único de Saúde. O estudo mostrou que não houve redução de óbito infantil, apresentando tendência positiva (tau de 0,137), embora não significativa (valor p de 0,449). O triênio de 2015 a 2017 apresentou a maior média da taxa de mortalidade (19,3/1000). Uiramutã foi o município com a maior taxa (47,2/1000), em 2017; os coeficientes de mortalidade infantil são maiores nos municípios com populações indígenas, evidenciando especificidades regionais. Conclui-se que é necessário reformulações nas políticas estaduais de saúde, que atenda às necessidades e as especificidades distintas da população e que garanta o acesso equânime às políticas públicas de saúde.Research, Society and Development2021-02-07info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://rsdjournal.org/index.php/rsd/article/view/1232510.33448/rsd-v10i2.12325Research, Society and Development; Vol. 10 No. 2; e12510212325Research, Society and Development; Vol. 10 Núm. 2; e12510212325Research, Society and Development; v. 10 n. 2; e125102123252525-3409reponame:Research, Society and Developmentinstname:Universidade Federal de Itajubá (UNIFEI)instacron:UNIFEIporhttps://rsdjournal.org/index.php/rsd/article/view/12325/11053Copyright (c) 2021 Sabrina Torres Teixeira; Amanda Melo Oliveira; Ellen Vanuza Martins Bertellihttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessTeixeira, Sabrina TorresOliveira, Amanda MeloBertelli, Ellen Vanuza Martins2021-03-02T09:32:39Zoai:ojs.pkp.sfu.ca:article/12325Revistahttps://rsdjournal.org/index.php/rsd/indexPUBhttps://rsdjournal.org/index.php/rsd/oairsd.articles@gmail.com2525-34092525-3409opendoar:2024-01-17T09:33:55.888820Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)false |
dc.title.none.fl_str_mv |
Temporal series of infant deaths in the State of Roraima Serie temporal de los fallecimientos infantiles en el Estado de Roraima Serie Temporal dos óbitos infantis no Estado de Roraima |
title |
Temporal series of infant deaths in the State of Roraima |
spellingShingle |
Temporal series of infant deaths in the State of Roraima Teixeira, Sabrina Torres Mortalidade Infantil População Indígena Epidemiologia Saúde pública. Mortalidad infantil Población indígena Epidemiología Salud pública. Infant Mortality Indigenous Population Epidemiology Public health. |
title_short |
Temporal series of infant deaths in the State of Roraima |
title_full |
Temporal series of infant deaths in the State of Roraima |
title_fullStr |
Temporal series of infant deaths in the State of Roraima |
title_full_unstemmed |
Temporal series of infant deaths in the State of Roraima |
title_sort |
Temporal series of infant deaths in the State of Roraima |
author |
Teixeira, Sabrina Torres |
author_facet |
Teixeira, Sabrina Torres Oliveira, Amanda Melo Bertelli, Ellen Vanuza Martins |
author_role |
author |
author2 |
Oliveira, Amanda Melo Bertelli, Ellen Vanuza Martins |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Teixeira, Sabrina Torres Oliveira, Amanda Melo Bertelli, Ellen Vanuza Martins |
dc.subject.por.fl_str_mv |
Mortalidade Infantil População Indígena Epidemiologia Saúde pública. Mortalidad infantil Población indígena Epidemiología Salud pública. Infant Mortality Indigenous Population Epidemiology Public health. |
topic |
Mortalidade Infantil População Indígena Epidemiologia Saúde pública. Mortalidad infantil Población indígena Epidemiología Salud pública. Infant Mortality Indigenous Population Epidemiology Public health. |
description |
The objective was to analyze the infant deaths that occurred in the State of Roraima between the years 2010 to 2017. This is an ecological study of time series, delimiting the state of Roraima, dividing into counties and time (years), through the analysis of secondary data generated from the Mortality Information System, made available by the Informatics Department of the Unified Health System. The study showed that there was no reduction in infant death, showing a positive trend (0.137 tau), although not significant (value p of 0.449). The three-year period from 2015 to 2017 had the highest average mortality rate (19.3 / 1000). Uiramutã was the county with the highest rate (47.2 / 1000), in 2017; infant mortality rates are higher in counties with indigenous populations, showing regional specificities. It is concluded that it is necessary to reformulate the state health policies, which meets the needs and the distinct specificities of the population and that guarantees equal access to public health policies. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-02-07 |
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/12325 10.33448/rsd-v10i2.12325 |
url |
https://rsdjournal.org/index.php/rsd/article/view/12325 |
identifier_str_mv |
10.33448/rsd-v10i2.12325 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://rsdjournal.org/index.php/rsd/article/view/12325/11053 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2021 Sabrina Torres Teixeira; Amanda Melo Oliveira; Ellen Vanuza Martins Bertelli https://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2021 Sabrina Torres Teixeira; Amanda Melo Oliveira; Ellen Vanuza Martins Bertelli 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. 2; e12510212325 Research, Society and Development; Vol. 10 Núm. 2; e12510212325 Research, Society and Development; v. 10 n. 2; e12510212325 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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1797052745528639488 |