Mapping the geography of violence against children in Namibia: A Geographically Weighted Regression Approach

Abstract. This study investigated the geospatial patterns and determinants of violence against children and young people in Namibia using data from 5,191 individuals aged 13–24 years, interviewed across 79 constituencies in the 2019 Violence Against Children and Youth Survey. We employed Global Moran’s I and Local Indicators of Spatial Autocorrelation to identify global spatial autocorrelation and hotspots. Ordinary least squares regression was used to identify significant area-level risk factors, whereas Geographically Weighted Regression was used to model local variations. We found significant regional variations in the prevalence of past-year sexual(SV), physical (PV), and emotional violence (EV), with the highest rates observed in constituencies in central and northern Namibia. Global spatial autocorrelation was evident for SV and EV but not for PV, suggesting distinct spatial patterns for each form of violence in the study area.Our findings also revealed notable spatial variations in risk factors, with area-level factors showing strong influences in certain areas, while being less impactful or negligible in others. These findings emphasise the need for geographically targeted interventions and policies to address localised risk factors and reduce violence against children and young people in Namibia.

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Publication Details

Journal
AGILE GIScience Series
Published
2025-06-09
DOI
https://doi.org/10.5194/agile-giss-6-45-2025
Primary Topic
HIV/AIDS Impact and Responses
Type
article
Field-Weighted Citation Impact
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article

Mapping the geography of violence against children in Namibia: A Geographically Weighted Regression Approach

Karen Devries, Tobias Willem Shinyemba, Shino Shiode
AGILE GIScience Series
HIV/AIDS Impact and Responses
article

Mapping the geography of violence against children in Namibia: A Geographically Weighted Regression Approach

Karen Devries, Tobias Willem Shinyemba, Shino Shiode
article en

Abstract

Abstract. This study investigated the geospatial patterns and determinants of violence against children and young people in Namibia using data from 5,191 individuals aged 13–24 years, interviewed across 79 constituencies in the 2019 Violence Against Children and Youth Survey. We employed Global Moran’s I and Local Indicators of Spatial Autocorrelation to identify global spatial autocorrelation and hotspots. Ordinary least squares regression was used to identify significant area-level risk factors, whereas Geographically Weighted Regression was used to model local variations. We found significant regional variations in the prevalence of past-year sexual(SV), physical (PV), and emotional violence (EV), with the highest rates observed in constituencies in central and northern Namibia. Global spatial autocorrelation was evident for SV and EV but not for PV, suggesting distinct spatial patterns for each form of violence in the study area.Our findings also revealed notable spatial variations in risk factors, with area-level factors showing strong influences in certain areas, while being less impactful or negligible in others. These findings emphasise the need for geographically targeted interventions and policies to address localised risk factors and reduce violence against children and young people in Namibia.

AGILE GIScience SeriesVol. 6
University of Namibia (NA), London School of Hygiene & Tropical Medicine (GB), Birkbeck, University of London (GB)
Centers for Disease Control and Prevention, Birkbeck, University of London
Openalex Percentile: Top 81%
HIV/AIDS Impact and Responses
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Mapping the geography of violence against children in Namibia: A Geographically Weighted Regression Approach — Karen Devries, Tobias Willem Shinyemba, et al. · AGILE GIScience Series (2025) | TGRS Research Map | TGRS