Clarivate’s Extrapolated Worldwide Coverage is the first and only evidence-based data set of epidemiological forecasts for key cystic fibrosis patient populations covering 171 countries and more than 99% of the global population, delivered in an interactive dashboard-style download.
Use the Extrapolated Worldwide Coverage dashboard to do the following:
View 10-year forecasts of the birth incident cases, diagnosed prevalent cases, diagnosed F508del heterozygous prevalent cases, diagnosed F508del homozygous prevalent cases and diagnosed F508del negative or unknown prevalent cases for all 171 countries, stratified by region and World Bank income status.
Aggregate country-level estimates into region-level estimates, according to user preference or as required by regulators for orphan drug designations.
Visualize global correlations between disease risk or patient population size and key indicators of market opportunity such as GDP per capita and healthcare spend per capita.
Generate and export global heat maps of disease risk or patient population size.
The Extrapolated Worldwide Coverage dashboard is available as an Excel file in the “Downloads” section. It is available for purchase by clients who subscribe to all 45 countries covered by Clarivate Epidemiology. For subscription and entitlement queries, please contact healthcare.support@clarivate.com.
Jagriti Prasad, M.P.H.,is an associate epidemiologist at Clarivate. Prior to joining the company, she worked on a research project exploring trends in a rare cancer and its subtype using data spanning 44 years in the largest cancer registry of northern England (NRYPMDR). She obtained her M.P.H. from Newcastle University in the United Kingdom and her B.D.S. from Manipal University in India.
Jackie Liu
Jackie Liu, M.P.H., Ph.D., Manager, Epidemiology. She first joined Clarivate as a Medtech analyst and worked on forecasting the global vascular devices market. She received her Ph.D. in molecular genetics and her M.P.H. in epidemiology from the University of Toronto in Canada.