Clarivate Epidemiology’s coverage of acne comprises epidemiological estimates of key patient populations across 45 countries worldwide. We report the prevalence of acne 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 of the United States, Europe, and Japan and over a period of 10 years for the other countries covered in this report.
Clarivate Epidemiology’s acne forecast will answer the following question:
How will demographic trends, such as population aging and improving life expectancy, affect the epidemiology of acne 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 nine acne patient populations, as follows:
Utsav Patel, M.P.H.,is an associate epidemiologist at Clarivate. His areas of interest are cardiovascular diseases and cancer epidemiology. Previously, he worked as a graduate research assistant at City University of New York, where he conducted multi-omics investigations into cancer study funded by the National Institutes of Health. He obtained his M.P.H. in epidemiology and biostatistics from City University of New York.
Alexandre Vo Dupuy, Pharm.D., M.Sc.
Alexandre Vo Dupuy, M.Sc., Pharm.D., is a principal epidemiologist at Clarivate. Previously, he worked in the fields of consulting and real-world evidence and at a major pharmaceutical company. He obtained his doctor of pharmacy from Descartes University in Paris and his master’s degree in pharmacoepidemiology from the University of Bordeaux. He has worked in multiple therapy areas, with a focus on cancer epidemiology. He also codeveloped a scenario-based forecast for COVID-19.