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The GapMap project: a mobile surveillance system to map diagnosed autism cases and gaps in autism services globally
Although the number of autism diagnoses is on the rise, we have no evidence-based tracking of size and severity of gaps in access to autism-related resources, nor do we have methods to geographically triangulate the locations of the widest gaps in either the US or elsewhere across the globe. To comb...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5651585/ https://www.ncbi.nlm.nih.gov/pubmed/29075431 http://dx.doi.org/10.1186/s13229-017-0163-7 |
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author | Daniels, Jena Schwartz, Jessey Albert, Nikhila Du, Michael Wall, Dennis P. |
author_facet | Daniels, Jena Schwartz, Jessey Albert, Nikhila Du, Michael Wall, Dennis P. |
author_sort | Daniels, Jena |
collection | PubMed |
description | Although the number of autism diagnoses is on the rise, we have no evidence-based tracking of size and severity of gaps in access to autism-related resources, nor do we have methods to geographically triangulate the locations of the widest gaps in either the US or elsewhere across the globe. To combat these related issues of (1) mapping diagnosed cases of autism and (2) quantifying gaps in access to key intervention services, we have constructed a crowd-based mobile platform called “GapMap” (http://gapmap.stanford.edu) for real-time tracking of autism prevalence and autism-related resources that can be accessed from any mobile device with cellular or wireless connectivity. Now in beta, our aim is for this Android/iOS compatible mobile tool to simultaneously crowd-enroll the massive and growing community of families with autism to capture geographic, diagnostic, and resource usage information while automatically computing prevalence at granular geographical scales to yield a more complete and dynamic understanding of autism resource epidemiology. |
format | Online Article Text |
id | pubmed-5651585 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-56515852017-10-26 The GapMap project: a mobile surveillance system to map diagnosed autism cases and gaps in autism services globally Daniels, Jena Schwartz, Jessey Albert, Nikhila Du, Michael Wall, Dennis P. Mol Autism Viewpoint Although the number of autism diagnoses is on the rise, we have no evidence-based tracking of size and severity of gaps in access to autism-related resources, nor do we have methods to geographically triangulate the locations of the widest gaps in either the US or elsewhere across the globe. To combat these related issues of (1) mapping diagnosed cases of autism and (2) quantifying gaps in access to key intervention services, we have constructed a crowd-based mobile platform called “GapMap” (http://gapmap.stanford.edu) for real-time tracking of autism prevalence and autism-related resources that can be accessed from any mobile device with cellular or wireless connectivity. Now in beta, our aim is for this Android/iOS compatible mobile tool to simultaneously crowd-enroll the massive and growing community of families with autism to capture geographic, diagnostic, and resource usage information while automatically computing prevalence at granular geographical scales to yield a more complete and dynamic understanding of autism resource epidemiology. BioMed Central 2017-10-23 /pmc/articles/PMC5651585/ /pubmed/29075431 http://dx.doi.org/10.1186/s13229-017-0163-7 Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Viewpoint Daniels, Jena Schwartz, Jessey Albert, Nikhila Du, Michael Wall, Dennis P. The GapMap project: a mobile surveillance system to map diagnosed autism cases and gaps in autism services globally |
title | The GapMap project: a mobile surveillance system to map diagnosed autism cases and gaps in autism services globally |
title_full | The GapMap project: a mobile surveillance system to map diagnosed autism cases and gaps in autism services globally |
title_fullStr | The GapMap project: a mobile surveillance system to map diagnosed autism cases and gaps in autism services globally |
title_full_unstemmed | The GapMap project: a mobile surveillance system to map diagnosed autism cases and gaps in autism services globally |
title_short | The GapMap project: a mobile surveillance system to map diagnosed autism cases and gaps in autism services globally |
title_sort | gapmap project: a mobile surveillance system to map diagnosed autism cases and gaps in autism services globally |
topic | Viewpoint |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5651585/ https://www.ncbi.nlm.nih.gov/pubmed/29075431 http://dx.doi.org/10.1186/s13229-017-0163-7 |
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