Sexual and Gender-Based Violence reporting and pattern analysis tool: a case of Nairobi County

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dc.contributor.authorMakau, A. N.
dc.date.accessioned2023-10-03T09:36:21Z
dc.date.available2023-10-03T09:36:21Z
dc.date.issued2023
dc.descriptionFull- text thesis
dc.description.abstractGlobally, sexual gender-based violence (SGBV) has affected individuals irrespective of age, gender, and social status. This harmful act includes sexual, mental, physical, and economic harm to both the private and economic sectors. SGBV has devastating consequences that can last a lifetime for survivors and even lead to death, hence the need for immediate medical attention. In the Kenyan context, SGBV continues to be a severe problem for society despite government efforts to address it through legislative and/or policy frameworks The inability of health, non-governmental organizations, and the government, as well as duty bearers, to combat SGBV has been impeded by a lack of up-to-date data. Governmental limitations in terms of planning to ensure that services are put in place to prevent SGBV and provide assistance to victims have attracted a rise in the number of affected victims. In this study, data was collected using questionnaires, and the collected data was used to find out the challenges in the reporting of SGBV cases and data management processes by the duty-bearers involved. The data was analysed using Microsoft Excel as a correlational tool, and the results were used to guide the researcher in the design of the mobile and web application. The study adopted an applied research design, and Agile methodology was used to develop the application. In order to understand the trends and patterns of SGBV, a KNCHR database with SGBV and feature-related information was first compiled and prepared to be used for ML modelling purposes, making use of the Poisson Regression Algorithm because it is best suited for identifying patterns and relationships between different factors in this case; gender, location, month, and year, and how these variables may affect the frequency of SGBV. Secondly, an android-based mobile application was developed to assist victims in reporting the violations in a timely manner, assist hospitals and police stations in data management by allowing them to update the details of the case with necessary information on the application, seek duty bearers’ attention and assist in the mapping of the reported cases for purposes of visualizing the number and geo-location of these cases, ensuring transparency throughout the ecosystem. The patterns depicted from the ML model were integrated with the web application for duty bearers to view the patterns of previously reported violations as well as a reports module on the web application displaying analysis in form of charts of the reported cases through the mobile app including the gender, age, type of violation and location. These analyses will aid in planning ahead for better resource optimization and comprehension of the magnitude of SGBV in order to mitigate future incidents.
dc.identifier.citationMakau, A. N. (2023). Sexual and Gender-Based Violence reporting and pattern analysis tool: A case of Nairobi County [Strathmore University]. http://hdl.handle.net/11071/13521
dc.identifier.urihttp://hdl.handle.net/11071/13521
dc.language.isoen
dc.publisherStrathmore University
dc.titleSexual and Gender-Based Violence reporting and pattern analysis tool: a case of Nairobi County
dc.typeThesis
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