Clarivate Epidemiology’s coverage of Autism Spectrum Disorder (ASD) comprises epidemiological estimates of key patient populations across 7 countries. We report the prevalence of ASD for each country, as well as annualized case counts projected to the national population.
Most patient populations are forecast over a period of 20 years for the major mature pharmaceutical markets.
Clarivate Epidemiology’s ASD forecast will answer the following questions:
- How will demographic trends, such as population aging and improving life expectancy, affect the epidemiology of ASD over the forecast period?
All forecast data are available on the Clarivate Insights Platform in tabular format, with options to download to MS Excel. All populations are accompanied by a comprehensive description of the methods and data sources used, with hyperlinks to external sources. A summary evidence table generated as part of our systematic review of the epidemiological literature is also provided for full transparency into research and methods.
In total, Clarivate Epidemiology forecasts four patient populations, as follows:
- Total prevalent cases of ASD (DSM-IV)
- Total prevalent cases of ASD (DSM-5)
- Total prevalent cases of ASD subtypes
- Total prevalent cases of ASD (DSM-IV) with Chromosome 15q11.2-13 Duplication
Note: coverage may vary by country.
Mohani Latwal
Mohani Latwal, B.P.T., M.P.H., Epidemiologist, Epidemiology. Prior to joining Clarivate, she worked as a deputy manager at an NGO. She received her bachelor’s degree in physiotherapy from Delhi University and her master’s degree in public health with a specialization in social epidemiology from the Tata Institute of Social Sciences in Mumbai.
Surup Dey
Surup Dey, M.L.T., M.P.H., is an epidemiologist at Clarivate. A former microbiologist, he was involved in the diagnosis of rare hematological disorders. Mr. Dey has a background in medical laboratory science from Christian Medical College in Vellore and earned a postgraduate degree in public health specializing in epidemiology from Manipal University. He specializes in real-world data analysis, cancer epidemiology, rare disease epidemiology, and targeted therapies in cancer.