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Analysis of the geographic pattern of the police reports for domestic violence in Girona (Spain)

BACKGROUND: There are many studies that address the issue of gender-based violence, but few analyse the police-reported cases. It is as important to analyse the temporal and geographic distribution of these incidents as it is the sociodemographic profile of the accuser. To this effect, the present s...

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Autores principales: Serra, Laura, Vall-llosera, Laura, Varga, Diego, Saurina, Carme, Saez, Marc, Renart, Gemma
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8935101/
https://www.ncbi.nlm.nih.gov/pubmed/35313832
http://dx.doi.org/10.1186/s12889-022-12916-4
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author Serra, Laura
Vall-llosera, Laura
Varga, Diego
Saurina, Carme
Saez, Marc
Renart, Gemma
author_facet Serra, Laura
Vall-llosera, Laura
Varga, Diego
Saurina, Carme
Saez, Marc
Renart, Gemma
author_sort Serra, Laura
collection PubMed
description BACKGROUND: There are many studies that address the issue of gender-based violence, but few analyse the police-reported cases. It is as important to analyse the temporal and geographic distribution of these incidents as it is the sociodemographic profile of the accuser. To this effect, the present study aims to analyse the sociodemographic profile of the victims of the particular case of domestic violence that report the incident to the police and to evaluate the spatial–temporal distribution of these reports. METHODS: Using the data from a database containing the police-reported incidents of domestic violence in Girona in the period 2012–2018, the risk of a police-reported incident was estimated by adjusting the two-part Hurdle model. RESULTS: The risk of reporting incidents of domestic violence to the police is higher in the less deprived areas of the city, and the spatial distribution of these police reports corroborate this finding. Nevertheless, those areas with the greatest socio-economic deprivation were also the ones where there were less police reports filed. Also the prediction of less police reports in the census tract with the highest percentage of the population with an insufficient educational level coincides with the largest number of police reports made by women with a medium and university level education (56.1%) compared with 9.5% of police reports made by women with insufficient schooling. CONCLUSIONS: These results can be useful for social protection services to design policies specifically aimed at women residing in those areas with the highest risk. Moreover, the use of spatial statistical techniques together with geographic information systems tools is a good strategy to analyse domestic violence and other types of offences because they not only allow to graphically identify the spatial distribution, but it is also a good tool to identify problems related to this type of offence. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-022-12916-4.
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spelling pubmed-89351012022-03-21 Analysis of the geographic pattern of the police reports for domestic violence in Girona (Spain) Serra, Laura Vall-llosera, Laura Varga, Diego Saurina, Carme Saez, Marc Renart, Gemma BMC Public Health Research BACKGROUND: There are many studies that address the issue of gender-based violence, but few analyse the police-reported cases. It is as important to analyse the temporal and geographic distribution of these incidents as it is the sociodemographic profile of the accuser. To this effect, the present study aims to analyse the sociodemographic profile of the victims of the particular case of domestic violence that report the incident to the police and to evaluate the spatial–temporal distribution of these reports. METHODS: Using the data from a database containing the police-reported incidents of domestic violence in Girona in the period 2012–2018, the risk of a police-reported incident was estimated by adjusting the two-part Hurdle model. RESULTS: The risk of reporting incidents of domestic violence to the police is higher in the less deprived areas of the city, and the spatial distribution of these police reports corroborate this finding. Nevertheless, those areas with the greatest socio-economic deprivation were also the ones where there were less police reports filed. Also the prediction of less police reports in the census tract with the highest percentage of the population with an insufficient educational level coincides with the largest number of police reports made by women with a medium and university level education (56.1%) compared with 9.5% of police reports made by women with insufficient schooling. CONCLUSIONS: These results can be useful for social protection services to design policies specifically aimed at women residing in those areas with the highest risk. Moreover, the use of spatial statistical techniques together with geographic information systems tools is a good strategy to analyse domestic violence and other types of offences because they not only allow to graphically identify the spatial distribution, but it is also a good tool to identify problems related to this type of offence. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-022-12916-4. BioMed Central 2022-03-21 /pmc/articles/PMC8935101/ /pubmed/35313832 http://dx.doi.org/10.1186/s12889-022-12916-4 Text en © The Author(s) 2022 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
Serra, Laura
Vall-llosera, Laura
Varga, Diego
Saurina, Carme
Saez, Marc
Renart, Gemma
Analysis of the geographic pattern of the police reports for domestic violence in Girona (Spain)
title Analysis of the geographic pattern of the police reports for domestic violence in Girona (Spain)
title_full Analysis of the geographic pattern of the police reports for domestic violence in Girona (Spain)
title_fullStr Analysis of the geographic pattern of the police reports for domestic violence in Girona (Spain)
title_full_unstemmed Analysis of the geographic pattern of the police reports for domestic violence in Girona (Spain)
title_short Analysis of the geographic pattern of the police reports for domestic violence in Girona (Spain)
title_sort analysis of the geographic pattern of the police reports for domestic violence in girona (spain)
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8935101/
https://www.ncbi.nlm.nih.gov/pubmed/35313832
http://dx.doi.org/10.1186/s12889-022-12916-4
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