DRG Epidemiology's coverage of rheumatoid arthritis comprises epidemiological estimates of key patient populations across 45 countries worldwide. We report the prevalence of rheumatoid arthritis 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 rheumatoid arthritis forecast will answer the following questions:
- Of all people with rheumatoid arthritis, how many in each country across the world have been formally diagnosed?
- Of all people diagnosed with rheumatoid arthritis, how many in each country across the major mature pharmaceutical markets are drug-treated?
- How will demographic trends, such as population aging and improving life expectancy, affect the epidemiology of rheumatoid arthritis 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 addition to the total number of cases for each forecast year, DRG Epidemiology also provides at least ten years of forecast data for the following rheumatoid arthritis subpopulations:
- Total prevalent cases by diagnosis status
- Diagnosed prevalent cases by DAS28 severity status
- Diagnosed prevalent cases by drug-treatment status
Note: coverage may vary by country and region.
- Sjogren's Syndrome - Epidemiology - Epidemiology Dashboard
- Sjogren's syndrome Epidemiology Dashboard
Author(s): Sunali D. Goonesekera, S.M.
Sunali Goonesekera, S.M., is a senior epidemiologist at DRG, part of Clarivate. Prior to joining DRG, Ms. Goonesekera conducted epidemiological research on racial/ethnic disparities in metabolic diseases at the New England Research Institute and lead-authored two manuscripts. She has contributed to multiple publications in peer-reviewed journals in epidemiology and the biological sciences. She holds a master’s degree in epidemiology from the Harvard School of Public Health and a B.A. in biology (Honors) from Dartmouth College.