Results 51 to 60 of about 9,424 (256)
Abstract Longer‐duration, holistic, cohort‐based, coach‐led interventions may be particularly effective in promoting both economic health and emotional well‐being among unmarried mothers living in economically disadvantaged neighborhoods. Aligning with the 1999 Centers for Disease Control (CDC) framework for program evaluation, this study presents a ...
Jennifer Langhinrichsen‐Rohling +5 more
wiley +1 more source
Investigating the impact of the COVID-19 pandemic on crime incidents number in different cities
The COVID-19 pandemic is strongly affecting many aspects of human life and society around the world. To investigate whether this pandemic also influences crime, the differences in crime incidents numbers before and during the pandemic in four large ...
Miaomiao Hou +3 more
doaj +1 more source
Predicting Crime Using Spatial Features [PDF]
Our study aims to build a machine learning model for crime prediction using geospatial features for different categories of crime. The reverse geocoding technique is applied to retrieve open street map (OSM) spatial data. This study also proposes finding hotpoints extracted from crime hotspots area found by Hierarchical Density-Based Spatial Clustering
Fateha Khanam Bappee +2 more
openaire +2 more sources
Abstract Mixed evidence for the influence of structural and social factors on adolescent substance use behaviors exists across the rural–urban continuum. Therefore, this study explores how adolescent perceptions of structural and social community risk factors are associated with lifetime and past 30‐day use of alcohol, marijuana, cigarettes, and ...
Melissa Pearman Fenton +4 more
wiley +1 more source
Spatio-Temporal Prediction of Baltimore Crime Events Using CLSTM Neural Networks
Crime activity in many cities worldwide causes significant damages to the lives of victims and their surrounding communities. It is a public disorder problem, and big cities experience large amounts of crime events.
Nicolas Esquivel +3 more
doaj +1 more source
Crime and violation are the threat to justice and meant to be controlled. Accurate crime prediction and future forecasting trends can assist to enhance metropolitan safety computationally. The limited ability of humans to process complex information from
Wajiha Safat +2 more
doaj +1 more source
This paper considered the emerging use of predictive analytics in the justice domain with respect to potential bias. It discussed predictive algorithms and methods from the perspectives of reported crime and community safety in the United States. Although predictive algorithms, techniques, and implementation contexts are emerging, imperfection exists
David H. McElreath +2 more
openaire +1 more source
Firearm carrying practices and motivations: A mixed methods study among adults and youth
Abstract The purpose of this participatory action, mixed methods research study was to identify motivations related to firearm carrying from a qualitative perspective, and then to use quantitative research to characterize the patterns of motivations around carrying.
Krista R. Mehari +5 more
wiley +1 more source
Becoming resilient: Community‐driven change and the civic capacity index
Abstract One of the principal features of successful community governance is that it is collaborative and thus dependent on a community's ability to work together. However, there are no valid, comprehensive means to assess a community's capacity to respond to civic challenges in collaborative ways, and that are predictive of community resilience and ...
David MacPhee +2 more
wiley +1 more source
Crime prediction serves as a valuable tool for deriving insightful information that can inform policy decisions at both operational and strategic tiers.
Toshka Coleman +6 more
doaj +1 more source

