Autism Prevalence Estimates from Peer-Reviewed Studies

A collection of data from peer-reviewed autism prevalence studies identified via a PubMed search through September 2020. The dataset includes reported prevalence estimates and study characteristics such as case ascertainment and criteria for population-based studies in defined geographic areas.

Use Cases

• Analyze autism prevalence estimate trends across different geographic areas and study characteristics.
• Compare case ascertainment methods and diagnostic criteria used across the collected prevalence studies.
• Examine the relationship between study publication date and reported prevalence estimates for meta-analysis.

Strengths

• Data is sourced from peer-reviewed studies identified through a systematic PubMed search.
• Includes key study characteristics like case ascertainment and diagnostic criteria.
• Compiled and published by the U.S. Department of Health & Human Services.

Limitations

• The dataset's size, row count, and specific column structure are unknown, limiting analytical planning.
• Includes only studies published in English, potentially introducing language bias.
• Temporal coverage is unclear as studies were published 'at any time' but identified only through September 2020.

Provenance

Source

U.S. Department of Health & Human Services

Collection Method

Data abstracted from peer-reviewed studies identified via a PubMed search for autism prevalence literature.

Time Range

Studies published at any time through the search cutoff in September 2020.

Freshness

Last updated in November 2020.

Geography

Population-based studies from defined geographic areas worldwide.