Creating a Healthy Environment for Children

GIS Tools for Improving the Quality of the Social Welfare Management System

Datos Bibliográficos

ID15468366
AutoresAlina Źróbek-Różańska (0000-0003-1669-4935, University of Warmia and Mazury in Olsztyn, autor de correspondencia), Marek Ogryzek (0000-0002-7493-5488, University of Warmia and Mazury in Olsztyn), Anna Źróbek-Sokolnik (0000-0001-5472-6980, University of Warmia and Mazury in Olsztyn)
Año2022
Volumen19
Número12
Páginas7128-7128
Fecha de publicación2022-06-10
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaInternational Journal of Environmental Research and Public Health (JOURNAL)
Identificadores de la revistaISSN: 1661-7827 • E-ISSN: 1660-4601
EditorialMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/ijerph19127128
PMID35742379
OpenAlexW4281914910
IdiomaEN
Citas recibidas1
Referencias citadas40

Childhood is considered to be the most vital period for mental, physical, and social development. Even short-term deprivation of nutrition, health care, education, and affection in childhood can have long-term and irreversible negative consequences. Various social assistance programs are being launched around the world to eliminate or alleviate social problems, including those experienced by children in their immediate environment. Different solutions have been proposed around the world, but welfare systems in all countries share the following common features: social assistance is necessary and underfinanced, and social workers struggle to cope with caseloads. As a result, welfare work is stressful and not highly effective. In this study, modern Geographic Information System (GIS) tools for supporting the employees of social assistance centers (SACs) have been proposed. The data relating to welfare beneficiaries were analyzed by nonparametric kernel density estimation and divided into five datasets. The kernel density tool in ArcGIS Pro software (Esri Polska sp. z o.o., Warsaw, Poland) was used to visualize areas with a relatively high prevalence of social problems, as well as areas where the neighborhood can deliver synergistic effects. A multicriteria analysis (MCA) procedure for mapping social problems was proposed, and an algorithm was developed in the GIS environment. The generated maps deliver helpful information for supporting SAC employees, as well as monitoring, planning, and initiating preventive measures. Above all, the presented method was designed to improve living conditions by facilitating the management of welfare workers' duties. Therefore, the proposed approach had to be effective and easy to use without an advanced knowledge of GIS tools

Business · Cartography · Economics · Geographic information system · Geography · Kernel density estimation · Political science · Social Welfare · Statistics · Welfare · Computer Science · demographic modeling and climate adaptation · Health disparities and outcomes · Mathematics · Psychology · Urban, Neighborhood, and Segregation Studies