Autism screening and diagnosis in low resource settings: Challenges and opportunities to enhance research and services worldwide

This publication is included in the Autistic Autism Scholarship Project. one author of this publication is identified as autistic in the project.

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Durkin, M. S., Elsabbagh, M., Barbaro, J., Gladstone, M., Happé, F., Hoekstra, R. A., Lee, L., Rattazzi, A., Stapel‐Wax, J., Stone, W. L., Tager‐Flusberg, H., Thurm, A., Tomlinson, M., & Shih, A. (2015). Autism screening and diagnosis in low resource settings: Challenges and opportunities to enhance research and services worldwide. Autism Research, 8(5), 473-476. https://doi.org/10.1002/aur.1575

Publication date: 1 Oct 2015 Added to AutiHub: 7 Sep 2026 Type: Article Article language: English
Publisher source (DOI) Full text OpenAlex source

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Authors

Publication authors
14
Publication authors identified as autistic
1 / 14 (7.1%)
  1. Maureen S. Durkin
  2. Mayada Elsabbagh
  3. Josephine Barbaro *
  4. Melissa Gladstone
  5. Francesca Happé
  1. Rosa A. Hoekstra
  2. Li‐Ching Lee
  3. Alexia Rattazzi
  4. Jennifer Stapel‐Wax
  5. Wendy L. Stone
  1. Helen Tager‐Flusberg
  2. Audrey Thurm
  3. Mark Tomlinson
  4. Andy Shih

Abstract

Most research into the epidemiology, etiology, clinical manifestations, diagnosis and treatment of autism is based on studies in high income countries. Moreover, within high income countries, individuals of high socioeconomic status are disproportionately represented among participants in autism research. Corresponding disparities in access to autism screening, diagnosis, and treatment exist globally. One of the barriers perpetuating this imbalance is the high cost of proprietary tools for diagnosing autism and for delivering evidence‐based therapies. Another barrier is the high cost of training of professionals and para‐professionals to use the tools. Open‐source and open access models provide a way to facilitate global collaboration and training. Using these models and technologies, the autism scientific community and clinicians worldwide should be able to work more effectively and efficiently than they have to date to address the global imbalance in autism knowledge and at the same time advance our understanding of autism and our ability to deliver cost‐effective services to everyone in need. Autism Res 2015, 8: 473–476. © 2015 International Society for Autism Research, Wiley Periodicals, Inc.

Bibliography cited by this reference

Cited references are imported from external metadata sources when they are available. The list may be partial.

Cited bibliography overview

These indicators describe the bibliography cited by this publication. An author name is counted each time it appears in one cited reference, so the same person can be counted more than once. Names not yet linked to an author already present in AutiHub are treated as unknown, not as non-autistic. Last computed: 12 Sep 2026 01:04.

Cited references
32
With a DOI
21
Without a DOI, from raw bibliography text
10
0 / 32 (0.0%) cited references include at least one author identified as autistic.
References with data to complete
11 / 32 (34.4%)
References with detected author names
21 / 32 (65.6%)
Without detected author names
11
Without a structured title
8
Without a stable identifier
10
References with raw author names still to review
8
References with external metadata lookup issues
1
These indicators apply to cited references displayed on this page, after technical duplicates have been merged. A reference without a DOI can still support author statistics when a title and author names are available.
Author names detected in the cited bibliography
85
From DOI or external metadata
85
From validated raw bibliography text
0
Raw names already validated
0
Raw names still to review
13
7 / 85 (8.2%) names are linked to an author already present in AutiHub. 78 / 85 (91.8%) names are not yet linked.
Names linked to a person identified as autistic
0 / 85 (0.0%)
Calculated across all author names detected in the cited bibliography. Among names linked to an author already present in AutiHub: 0 / 7 (0.0%). Distinct people identified as autistic: 0 / 81 (0.0%).
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