Identification and Quantification of Gaps in Access to Autism Resources in the United States: An Infodemiological Study.

Michael Ning Jena Daniels Jessey Nicole Schwartz Kaitlyn L Dunlap Peter Yigitcan Washington Haik Kalantarian Michael Du Dennis Paul Wall

Published in: Journal of medical Internet research (2019)

Results from this study demonstrate the sparsity and uneven distribution of diagnostic resources in the United States, which may contribute to the lengthy waitlists and travel distances-barriers to be overcome to be able to receive diagnosis in specific regions. More data are needed on autism diagnosis demand to better quantify resource needs across the United States.

Keyphrases

intellectual disability
machine learning