About DRG Epidemiology
DRG’s Epidemiology provides bottom-up, patient-level forecasts, detailing disease trends from 10- to 20-year outlook periods to help you validate investments and identify growth opportunities in your markets of interest.
All of our epidemiological data, methods and insight are distributed via DRG’s Insights Platform, allowing the user to easily navigate between world regions and patient populations, as well as download epidemiological forecast data into an MS Excel format for offline use.
All epidemiological forecasts may be supplemented with custom deliverables, such as:
- Chart reviews or more granular stratification using DRG’s in-house real world datasets or physician survey data
- Customized and interactive patient flow models or additional subpopulations or metrics
- Expanded geographical coverage or extended forecast periods beyond those available
Our robust patient population sizing data includes therapeutic coverage of 140+ indications and 3400+ patient subpopulations, including extensive oncology subpopulation data by stage, line of therapy, and biomarker, as well as continually expanding niche and rare disease coverage.
The geographic breadth of data includes mature market (G7) reporting for all 140+ indications, as well as 90% global population coverage for the high-profile diseases, and expanded penetration for emerging and rest-of-world markets in select indications.
For over 20 years, our data and methodology have been developed and refined by DRG’s Epidemiology team of industry-leading subject matter experts, driven by rigorous methodology to uncover the impact of exposure, risk, and treatment, in addition to historical trends and age and gender cohorts.
All of our epidemiological forecasts are accompanied by a transparent description of our methods and data sources, the details of our systematic review underlying each forecast and associated summary evidence tables, and access to the authoring epidemiologist.
- Emerging Markets Data
- Key Findings
- Prevalence of Chronic Kidney Disease per 100 Among People Aged 20+ in 2016 and 2026
- Relative Sizes of the Contributing Factors to the Trend in Prevalent Cases of Chronic Kidney Disease Over the Next 10 Years
- Analysis of the Prevalent Cases of Chronic Kidney Disease in 2016 by Diagnosis Status
- Key Findings
- Epidemiology Data
- Total Prevalence and Staging
- Dialysis Status
- Anemia Status
- Percentage Diagnosed
- Reference Materials
- Literature Review
- Risk/Protective Factors
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.