Estimated Autism Spectrum Disorder (ASD) Cases in Latin America by Country, 2010 and 2020 provides macro-level estimates of ASD cases for Latin American countries. The dataset, authored by Juan Moises de la Serna and hosted on Harvard Dataverse, applies assumed prevalence rates of 0.3% (2010) and 0.6% (2020) to approximate population figures. Data should be interpreted as modeled estimates, not administrative counts of diagnosed cases.
Use Cases
- Analyze changes in estimated ASD prevalence between 2010 and 2020 based on the provided time-series data.
- Compare estimated ASD burden across different Latin American countries based on country-level estimates.
- Model the potential impact of different prevalence assumptions on population-level estimates based on the described methodology.
Strengths
- Provides estimates for two distinct time points (2010 and 2020) for longitudinal comparison.
- Covers multiple countries within the Latin American region.
- Explicitly documents the assumed prevalence rates (0.3% and 0.6%) used for modeling.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Data are modeled estimates derived from assumed prevalence rates, not administrative counts of diagnosed cases.
- Row count is unknown, which may limit suitability assessment.
Provenance
- Source
- Harvard Dataverse
- Collection Method
- Estimates derived by applying assumed ASD prevalence rates to approximate total population figures by country.
- Time Range
- 2010 and 2020
- Freshness
- Last updated 2026-03-24 21:34:55; freshness should be verified.
- Geography
- Latin America