Files and links (1)
Published, Version of Record (VoR)CC BY V4.0, Open
Journal article
Editorial S.I: Early Identification in Autism Spectrum Disorders: The Present and Future, and Advances in Early Identification
Journal of autism and developmental disorders, v 51(3), pp 763-768
Mar 2021
PMID: 33483912
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Early identification of autism spectrum disorder (ASD) is considered by most scholars and clinicians to be a feasible and useful step for improving the wellbeing of individuals on the autism spectrum and their families. Arguments supporting early detection efforts include the benefit of earlier access to services providing autism-specific evidence-based interventions (Vivanti et al., Journal of Autism and Developmental Disorders, 46(7), 2441-2449, 2016; Zwaigenbaum et al., Pediatrics, 136(Suppl), S10-S40, 2015), and its potential to mitigate or even prevent the challenges associated with ASD symptoms, reduce care costs, and improve the quality of life and productivity of individuals with ASD (Constantino et al., Pediatrics, 146(3), e20193629, 2020; Jacobson et al., Behavioral Interventions, 13(4), 201-226, 1998; Jacobson and Mulick, Journal of Autism and Developmental Disorders, 30(6), 585-593, 2000). Nevertheless, controversies and challenges in this field exist.
Metrics
Details
- Title
- Editorial S.I: Early Identification in Autism Spectrum Disorders: The Present and Future, and Advances in Early Identification
- Creators
- Roald A Øien - Yale UniversityGiacomo Vivanti - Center for Autism and Related DisordersDiana L Robins - Center for Autism and Related Disorders
- Publication Details
- Journal of autism and developmental disorders, v 51(3), pp 763-768
- Publisher
- Springer Nature
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- A.J. Drexel Autism Institute
- Web of Science ID
- WOS:000609943400001
- Scopus ID
- 2-s2.0-85099761316
- Other Identifier
- 991019168257704721
UN Sustainable Development Goals (SDGs)
This publication has contributed to the advancement of the following goals:
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Psychology, Developmental