Accounting for autism’s prevalence
Recent articles
Map of global autism prevalence
View an interactive map of studies on autism prevalence around the world. The map highlights places where information is available — and places where information is missing.
Map of global autism prevalence
View an interactive map of studies on autism prevalence around the world. The map highlights places where information is available — and places where information is missing.
U.S. study charts changing prevalence of profound and non-profound autism
Profound autism prevalence rose from 2002 to 2016, though not nearly as much as non-profound autism did.
U.S. study charts changing prevalence of profound and non-profound autism
Profound autism prevalence rose from 2002 to 2016, though not nearly as much as non-profound autism did.
U.S. autism prevalence continues to rise as race and sex gaps shrink, new stats show
About 1 in 36 children in the United States has autism, up almost 20 percent from the previous estimate, reflecting improved identification, particularly among girls and Black, Hispanic and Asian or Pacific Islander children.
U.S. autism prevalence continues to rise as race and sex gaps shrink, new stats show
About 1 in 36 children in the United States has autism, up almost 20 percent from the previous estimate, reflecting improved identification, particularly among girls and Black, Hispanic and Asian or Pacific Islander children.
Autism incidence in England varies by ethnicity, class, location
High rates of autism are linked to lower socioeconomic status and minority ethnic groups, according to the largest-ever autism incidence study.
Autism incidence in England varies by ethnicity, class, location
High rates of autism are linked to lower socioeconomic status and minority ethnic groups, according to the largest-ever autism incidence study.
Autism by the numbers: Explaining its apparent rise
Is autism really more common among children today than in generations past? This new downloadable book offers an in-depth guide to the various factors that have helped to drive autism prevalence numbers up.
Autism by the numbers: Explaining its apparent rise
Is autism really more common among children today than in generations past? This new downloadable book offers an in-depth guide to the various factors that have helped to drive autism prevalence numbers up.
U.S. autism prevalence inches upward as racial gaps close
Autism prevalence in the United States rose to 1 in 44 children in 2018, up from 1 in 54 in 2016.
U.S. autism prevalence inches upward as racial gaps close
Autism prevalence in the United States rose to 1 in 44 children in 2018, up from 1 in 54 in 2016.
Explore more from The Transmitter
Sharing Africa’s brain data: Q&A with Amadi Ihunwo
These data are “virtually mandatory” to advance neuroscience, says Ihunwo, a co-investigator of the Brain Research International Data Governance & Exchange (BRIDGE) initiative, which seeks to develop a global framework for sharing, using and protecting neuroscience data.
Sharing Africa’s brain data: Q&A with Amadi Ihunwo
These data are “virtually mandatory” to advance neuroscience, says Ihunwo, a co-investigator of the Brain Research International Data Governance & Exchange (BRIDGE) initiative, which seeks to develop a global framework for sharing, using and protecting neuroscience data.
Cortical structures in infants linked to future language skills; and more
Here is a roundup of autism-related news and research spotted around the web for the week of 19 May.
Cortical structures in infants linked to future language skills; and more
Here is a roundup of autism-related news and research spotted around the web for the week of 19 May.
The BabyLM Challenge: In search of more efficient learning algorithms, researchers look to infants
A competition that trains language models on relatively small datasets of words, closer in size to what a child hears up to age 13, seeks solutions to some of the major challenges of today’s large language models.
The BabyLM Challenge: In search of more efficient learning algorithms, researchers look to infants
A competition that trains language models on relatively small datasets of words, closer in size to what a child hears up to age 13, seeks solutions to some of the major challenges of today’s large language models.