SPATIAL DISTRIBUTION OF VIOLENCE AGAINST OLDER ADULTS BEFORE AND DURING THE COVID-19 PANDEMIC
Autor(a) principal: | |
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Data de Publicação: | 2023 |
Outros Autores: | , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Cogitare Enfermagem (Online) |
Texto Completo: | https://revistas.ufpr.br/cogitare/article/view/93132 |
Resumo: | Objective: to analyze the spatial distribution of violence against older adults in the Brazilian South region before and in the first year of the COVID-19 pandemic.Method: an ecological study that analyzed reports of violence against older adults between 2019 and 2020, in Southern Brazil. Local empirical Bayesian rates, Moran's Local Autocorrelation Index and Getis Ord Gi analysis were calculated.Results: there was a reduction in the smoothed rate of violence against older adults. The high-high and hot-spot cities in 2019 became more violent in 2020; and cities with low prevalence became less violent in 2020. The highest COVID-19 fatality rates were also in those cities with the highest violence rates.Conclusion: the data reinforces the complexity of violence and its worsening due to the pandemic. In addition, they contribute to decision-making in Nursing, highlighting the need to encourage new research studies on this theme. |
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Cogitare Enfermagem (Online) |
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SPATIAL DISTRIBUTION OF VIOLENCE AGAINST OLDER ADULTS BEFORE AND DURING THE COVID-19 PANDEMICViolence; Older Adult Abuse; Spatial Analysis; COVID-19; Public Health Nursing.Objective: to analyze the spatial distribution of violence against older adults in the Brazilian South region before and in the first year of the COVID-19 pandemic.Method: an ecological study that analyzed reports of violence against older adults between 2019 and 2020, in Southern Brazil. Local empirical Bayesian rates, Moran's Local Autocorrelation Index and Getis Ord Gi analysis were calculated.Results: there was a reduction in the smoothed rate of violence against older adults. The high-high and hot-spot cities in 2019 became more violent in 2020; and cities with low prevalence became less violent in 2020. The highest COVID-19 fatality rates were also in those cities with the highest violence rates.Conclusion: the data reinforces the complexity of violence and its worsening due to the pandemic. In addition, they contribute to decision-making in Nursing, highlighting the need to encourage new research studies on this theme.Federal University of ParanáCosta, Aline BalandisMarques, Francielle Renata Danielli MartinsOliveira, Natan Nascimento deOliveira, Rosana Rosseto deSalci, Maria AparecidaFacchini, Luiz AugustoCarreira, Lígia2023-11-16info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://revistas.ufpr.br/cogitare/article/view/9313210.1590/ce.v28i0.93132Cogitare Enfermagem; v. 28 (2023)Cogitare Enfermagem; v. 28 (2023)Cogitare Enfermagem; v. 28 (2023)2176-91331414-853610.1590/ce.v28i0reponame:Cogitare Enfermagem (Online)instname:Universidade Federal do Paraná (UFPR)instacron:UFPRenghttps://revistas.ufpr.br/cogitare/article/view/93132/pdfDireitos autorais 2023 Aline Balandis Costa, Francielle Renata Danielli Martins Marques, Natan Nascimento de Oliveira, Rosana Rosseto de Oliveira, Maria Aparecida Salci, Luiz Augusto Facchini, Lígia Carreirahttp://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccess2023-12-14T17:30:38Zoai:revistas.ufpr.br:article/93132Revistahttps://revistas.ufpr.br/cogitare/indexPUBhttps://revistas.ufpr.br/cogitare/oaicogitare@ufpr.br2176-91331414-8536opendoar:2023-12-14T17:30:38Cogitare Enfermagem (Online) - Universidade Federal do Paraná (UFPR)false |
dc.title.none.fl_str_mv |
SPATIAL DISTRIBUTION OF VIOLENCE AGAINST OLDER ADULTS BEFORE AND DURING THE COVID-19 PANDEMIC |
title |
SPATIAL DISTRIBUTION OF VIOLENCE AGAINST OLDER ADULTS BEFORE AND DURING THE COVID-19 PANDEMIC |
spellingShingle |
SPATIAL DISTRIBUTION OF VIOLENCE AGAINST OLDER ADULTS BEFORE AND DURING THE COVID-19 PANDEMIC Costa, Aline Balandis Violence; Older Adult Abuse; Spatial Analysis; COVID-19; Public Health Nursing. |
title_short |
SPATIAL DISTRIBUTION OF VIOLENCE AGAINST OLDER ADULTS BEFORE AND DURING THE COVID-19 PANDEMIC |
title_full |
SPATIAL DISTRIBUTION OF VIOLENCE AGAINST OLDER ADULTS BEFORE AND DURING THE COVID-19 PANDEMIC |
title_fullStr |
SPATIAL DISTRIBUTION OF VIOLENCE AGAINST OLDER ADULTS BEFORE AND DURING THE COVID-19 PANDEMIC |
title_full_unstemmed |
SPATIAL DISTRIBUTION OF VIOLENCE AGAINST OLDER ADULTS BEFORE AND DURING THE COVID-19 PANDEMIC |
title_sort |
SPATIAL DISTRIBUTION OF VIOLENCE AGAINST OLDER ADULTS BEFORE AND DURING THE COVID-19 PANDEMIC |
author |
Costa, Aline Balandis |
author_facet |
Costa, Aline Balandis Marques, Francielle Renata Danielli Martins Oliveira, Natan Nascimento de Oliveira, Rosana Rosseto de Salci, Maria Aparecida Facchini, Luiz Augusto Carreira, Lígia |
author_role |
author |
author2 |
Marques, Francielle Renata Danielli Martins Oliveira, Natan Nascimento de Oliveira, Rosana Rosseto de Salci, Maria Aparecida Facchini, Luiz Augusto Carreira, Lígia |
author2_role |
author author author author author author |
dc.contributor.none.fl_str_mv |
|
dc.contributor.author.fl_str_mv |
Costa, Aline Balandis Marques, Francielle Renata Danielli Martins Oliveira, Natan Nascimento de Oliveira, Rosana Rosseto de Salci, Maria Aparecida Facchini, Luiz Augusto Carreira, Lígia |
dc.subject.none.fl_str_mv |
|
dc.subject.por.fl_str_mv |
Violence; Older Adult Abuse; Spatial Analysis; COVID-19; Public Health Nursing. |
topic |
Violence; Older Adult Abuse; Spatial Analysis; COVID-19; Public Health Nursing. |
description |
Objective: to analyze the spatial distribution of violence against older adults in the Brazilian South region before and in the first year of the COVID-19 pandemic.Method: an ecological study that analyzed reports of violence against older adults between 2019 and 2020, in Southern Brazil. Local empirical Bayesian rates, Moran's Local Autocorrelation Index and Getis Ord Gi analysis were calculated.Results: there was a reduction in the smoothed rate of violence against older adults. The high-high and hot-spot cities in 2019 became more violent in 2020; and cities with low prevalence became less violent in 2020. The highest COVID-19 fatality rates were also in those cities with the highest violence rates.Conclusion: the data reinforces the complexity of violence and its worsening due to the pandemic. In addition, they contribute to decision-making in Nursing, highlighting the need to encourage new research studies on this theme. |
publishDate |
2023 |
dc.date.none.fl_str_mv |
2023-11-16 |
dc.type.none.fl_str_mv |
|
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://revistas.ufpr.br/cogitare/article/view/93132 10.1590/ce.v28i0.93132 |
url |
https://revistas.ufpr.br/cogitare/article/view/93132 |
identifier_str_mv |
10.1590/ce.v28i0.93132 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://revistas.ufpr.br/cogitare/article/view/93132/pdf |
dc.rights.driver.fl_str_mv |
http://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
http://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 |
Federal University of Paraná |
publisher.none.fl_str_mv |
Federal University of Paraná |
dc.source.none.fl_str_mv |
Cogitare Enfermagem; v. 28 (2023) Cogitare Enfermagem; v. 28 (2023) Cogitare Enfermagem; v. 28 (2023) 2176-9133 1414-8536 10.1590/ce.v28i0 reponame:Cogitare Enfermagem (Online) instname:Universidade Federal do Paraná (UFPR) instacron:UFPR |
instname_str |
Universidade Federal do Paraná (UFPR) |
instacron_str |
UFPR |
institution |
UFPR |
reponame_str |
Cogitare Enfermagem (Online) |
collection |
Cogitare Enfermagem (Online) |
repository.name.fl_str_mv |
Cogitare Enfermagem (Online) - Universidade Federal do Paraná (UFPR) |
repository.mail.fl_str_mv |
cogitare@ufpr.br |
_version_ |
1797068289175715840 |