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GapMap: Enabling Comprehensive Autism Resource Epidemiology.

Nikhila AlbertJena DanielsJessey Nicole SchwartzMichael DuDennis Paul Wall
Published in: JMIR public health and surveillance (2017)
This study confirmed that individuals closer to diagnostic services are more likely to be diagnosed and proposes GapMap, a means to measure and enable the alleviation of increasingly overburdened diagnostic centers and resource-poor areas where parents are unable to diagnose their children as quickly and easily as needed. GapMap will collect information that will provide more accurate data for computing resource loads and availability, uncovering the impact of resource epidemiology on age and likelihood of diagnosis, and gathering localized autism prevalence rates.
Keyphrases
  • risk factors
  • autism spectrum disorder
  • intellectual disability
  • healthcare
  • primary care
  • mental health
  • machine learning
  • high resolution