DRG Epidemiology’s coverage of dermatitis comprises epidemiological estimates of key patient populations in 45 countries worldwide. We report the prevalence of dermatitis 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.
DRG Epidemiology’s dermatitis forecast will answer the following questions:
- How will demographic trends, such as population aging and improving life expectancy, affect the epidemiology of dermatitis 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.
DRG Epidemiology forecasts the following dermatitis patient population:
- Twelve-month total prevalent cases.
Note: Coverage may vary by country.
- Dermatitis/Eczema - Epidemiology - Mature Markets
- Key Findings
- Key Updates
- Twelve-Month Total Prevalence of Dermatitis per 100 People of All Ages in 2019 and 2039
- Relative Sizes of the Contributing Factors to the Trend in 12-Month Total Prevalent Cases of Dermatitis over the Next 20 Years
- Epidemiology Data
- Twelve-Month Total Prevalent Cases
- Total Incident Cases
- Lifetime DALYs Gained
- Reference Materials
- Literature Review
- Studies Included in the Analysis of Dermatitis
- Studies Excluded from the Analysis of Dermatitis
- Risk/Protective Factors
- Risk/Protective Factors for Dermatitis
- Literature Review
Author(s): Kurt White; Nicole Zhang, MPH
Kurt is an associate epidemiologist and joined Decision Resources Group in 2018. He has significant experience with statistical methods such as multivariate linear regression and logistic regression.
He completed his master’s and doctoral degree (MPH, PhD) in Epidemiology at Indiana University School of Public Health, where he worked on projects investigating the relationship between physical activity and infectious disease health outcomes. He also completed his master’s (MA) in anthropology at Indiana University and his master’s (MS) in biology at Indiana University-Purdue University Indianapolis.
Nicole Zhang is an Epidemiologist at Decision Resources Group. She focuses on the epidemiology of oncology and cardiovascular disorders.
She holds an M.P.H. from Tufts Medical School where she specialized in epidemiology and biostatistics. She also holds a B.A. in Chemistry and Statistics from Mount Holyoke College. Prior to joining Decision Resources, she worked as a research analyst at Massachusetts General Hospital where she independently managed data from food information survey conducted in Chelsea, MA. She has also worked at Massachusetts Department of Public Health where she conducted secondary research in the fields of gestational diabetes.