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“The devil is in the detail”: geographical inequalities of femicides in Ecuador

BACKGROUND: Femicide is a very important public health problem in Ecuador. Since regional and country-level femicide rates can obscure significant variations at the sub-national level, it is important to provide information at the lowest relevant level of disaggregation to be able to develop targete...

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Autores principales: Fonseca-Rodríguez, Osvaldo, San Sebastián, Miguel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8097816/
https://www.ncbi.nlm.nih.gov/pubmed/33947404
http://dx.doi.org/10.1186/s12939-021-01454-x
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author Fonseca-Rodríguez, Osvaldo
San Sebastián, Miguel
author_facet Fonseca-Rodríguez, Osvaldo
San Sebastián, Miguel
author_sort Fonseca-Rodríguez, Osvaldo
collection PubMed
description BACKGROUND: Femicide is a very important public health problem in Ecuador. Since regional and country-level femicide rates can obscure significant variations at the sub-national level, it is important to provide information at the lowest relevant level of disaggregation to be able to develop targeted preventive policies. The aim of this study was to assess the spatial distribution of the femicide rate and to examine its spatial clustering at the canton level in Ecuador in the period 2018–2019. METHODS: Data on cases were collected by a national network of non-governmental organizations. Two age-disaggregated analyses were done, one for the 15 to 24 years-olds and the other for the female population of 15 and older. Age-specific population data were obtained from the National Institute of Statistics for the study period. Standardized mortality ratios for mapping the mortality were calculated using hierarchical Bayesian models and spatial scan statistics were applied to identify local clusters. Thematic maps of age-specific femicide rates were also constructed. RESULTS: During the two-year period, 61 and 183 women were killed in the age ranges 15–24 and 15 years and older, respectively. The annual rate of femicides in Ecuador was 1.0 and 0.8 per 100,000 in the female population aged 15–24 and 15+, respectively, with substantial variations among cantons. The spatial analysis contributed to visualize high risk cantons, which were mainly located in a small area in the central part of the country (for those 15+) but especially in the Amazon region, for both of the studied age groups. CONCLUSIONS: This study has shown the usefulness of applying spatial analysis to the problem of femicides in Ecuador. The study has revealed important variations among cantons but also a spatial clustering, mainly in the Amazon region of the country. The results should help policymakers to focus on current prevention programmes for violence against women into these high-risk areas. Continuous monitoring of femicides at low-level geographical areas is highly recommended. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12939-021-01454-x.
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spelling pubmed-80978162021-05-05 “The devil is in the detail”: geographical inequalities of femicides in Ecuador Fonseca-Rodríguez, Osvaldo San Sebastián, Miguel Int J Equity Health Research BACKGROUND: Femicide is a very important public health problem in Ecuador. Since regional and country-level femicide rates can obscure significant variations at the sub-national level, it is important to provide information at the lowest relevant level of disaggregation to be able to develop targeted preventive policies. The aim of this study was to assess the spatial distribution of the femicide rate and to examine its spatial clustering at the canton level in Ecuador in the period 2018–2019. METHODS: Data on cases were collected by a national network of non-governmental organizations. Two age-disaggregated analyses were done, one for the 15 to 24 years-olds and the other for the female population of 15 and older. Age-specific population data were obtained from the National Institute of Statistics for the study period. Standardized mortality ratios for mapping the mortality were calculated using hierarchical Bayesian models and spatial scan statistics were applied to identify local clusters. Thematic maps of age-specific femicide rates were also constructed. RESULTS: During the two-year period, 61 and 183 women were killed in the age ranges 15–24 and 15 years and older, respectively. The annual rate of femicides in Ecuador was 1.0 and 0.8 per 100,000 in the female population aged 15–24 and 15+, respectively, with substantial variations among cantons. The spatial analysis contributed to visualize high risk cantons, which were mainly located in a small area in the central part of the country (for those 15+) but especially in the Amazon region, for both of the studied age groups. CONCLUSIONS: This study has shown the usefulness of applying spatial analysis to the problem of femicides in Ecuador. The study has revealed important variations among cantons but also a spatial clustering, mainly in the Amazon region of the country. The results should help policymakers to focus on current prevention programmes for violence against women into these high-risk areas. Continuous monitoring of femicides at low-level geographical areas is highly recommended. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12939-021-01454-x. BioMed Central 2021-05-04 /pmc/articles/PMC8097816/ /pubmed/33947404 http://dx.doi.org/10.1186/s12939-021-01454-x Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Fonseca-Rodríguez, Osvaldo
San Sebastián, Miguel
“The devil is in the detail”: geographical inequalities of femicides in Ecuador
title “The devil is in the detail”: geographical inequalities of femicides in Ecuador
title_full “The devil is in the detail”: geographical inequalities of femicides in Ecuador
title_fullStr “The devil is in the detail”: geographical inequalities of femicides in Ecuador
title_full_unstemmed “The devil is in the detail”: geographical inequalities of femicides in Ecuador
title_short “The devil is in the detail”: geographical inequalities of femicides in Ecuador
title_sort “the devil is in the detail”: geographical inequalities of femicides in ecuador
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8097816/
https://www.ncbi.nlm.nih.gov/pubmed/33947404
http://dx.doi.org/10.1186/s12939-021-01454-x
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