DRG Epidemiology's coverage of NASH comprises epidemiological estimates of key patient populations across 45 countries worldwide. We report prevalence of NASH 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 and 10 years for the other countries covered in this report. Prevalent patient populations are forecast across the major mature pharmaceutical markets.
DRG Epidemiology's NASH forecast will answer the following questions:
- How will changes in the levels of exposure to known risk or protective factors affect the number of people living with NASH?
- How will demographic trends, such as population aging and improving life expectancy, affect the epidemiology of NASH over the forecast period?
All forecast data are available on the DRG 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, DRG Epidemiology forecasts patient populations, as follows:
- Total prevalent cases
- Prevalent cases by fibrosis stage
- Diagnosed prevalent cases
- Diagnosed drug-treated prevalent cases
- Diagnosed prevalent cases by fibrosis stage
- Diagnosed prevalent cases by obesity status
… and many more (details available on request).
- Epidemiology Dashboard
- Non-Alcoholic Steatohepatitis Epidemiology Dashboard
Author(s): Joseph Granato, MPH
Joseph Granato joined Decision Resources Group in 2012 and previously worked on both Market Access and Global Market Access ; Joseph is currently responsible for forecasting the prevalence and incidence of disease populations throughout the ; He is also tasked with identifying at risk populations and developing new epidemiological methods used to predict overall population health. He received his from Des Moines University where he worked on several population health projects including the delivery of continuing medical education on tick-borne ; He also holds a in Animal Science from the University of ; Prior to his time with DRG Joseph worked with the Monroe County Health Department on the surveillance of reportable diseases including Dengue Fever.