Ontology highlight
ABSTRACT: Objectives
This study examined patterns of sexual violence against adults and children in Kenya during the COVID-19 pandemic to inform sexual violence prevention, protection, and response efforts.Design
A prospective cross-sectional research design was used with data collected from March to August 2020.Setting
Kenya.Participants
317 adults, 224 children.Main measures
Perpetrator and survivor demographic data, characteristics of the assault.Results
Bivariate analyses found that children were more likely than adults to be attacked during daytime (59% vs 44%, p<0.001) by a single perpetrator rather than multiple perpetrators (31% vs 13%, p<0.001) in a private as opposed to a public location (66% vs 45%, p<0.001) and by someone known to the child (76% vs 58%, p<0.001). Children were violated most often by neighbours (29%) and family members (20%), whereas adults were equally likely to be attacked by strangers (41%) and persons known to them (59%). These variables were entered as predictors into a logistic regression model that significantly predicted the age group of the survivor, χ2(5, n=541)=53.3, p<0.001.Conclusions
Patterns of sexual violence against adult and child survivors during the COVID-19 pandemic are different, suggesting age-related measures are needed in national emergency plans to adequately address sexual violence during the pandemic and for future humanitarian crises.
SUBMITTER: Rockowitz S
PROVIDER: S-EPMC8423516 | biostudies-literature |
REPOSITORIES: biostudies-literature