CROSS-SECTOR COLLABORATION IN AUTISM CARE: A FRAMEWORK INTEGRATING DATA ANALYTICS, PUBLIC HEALTH, AND SOCIAL WORK

Abstract

Autism Spectrum Disorder (ASD) is a complex neurodevelopmental condition that affects individuals' behavior, communication, and social interaction. Addressing the needs of individuals with autism requires a multi-disciplinary approach that integrates social work, public health, and data analytics to optimize interventions and outcomes. This paper proposes an integrated framework that combines the strengths of these fields to enhance autism interventions. The framework emphasizes the role of social work in providing personalized care and advocacy, the contribution of public health in designing community-based programs, and the application of data analytics to evaluate intervention effectiveness and inform decision making. By merging these disciplines, the framework aims to improve service delivery, promote equitable access to resources, and support individuals with autism across the lifespan. This integrated approach is positioned to advance current practices and offer a holistic model for addressing the diverse needs of individuals with ASD, their families, and communities