Ovarian Cancer – Epidemiology – Extrapolated Worldwide Coverage
Clarivate’s extended worldwide coverage is the first and only evidence-based data set of epidemiological forecasts for key ovarian cancer patient populations covering 171 countries and more than 99% of the global population, delivered in an interactive dashboard-style download. Use the extended worldwide coverage data set to:
View 10-year forecasts of the first-line drug-treatable population and diagnosed incident 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 extended worldwide coverage dashboard is available as an Excel file in the “Downloads” section. It is available only to clients with subscriptions to all 45 countries covered by Clarivate Epidemiology. For subscription and entitlement queries, please contact DRG.support@clarivate.com.
Ovarian Cancer - Epidemiology - Extrapolated Worldwide Coverage
Extrapolated Worldwide Coverage
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The Global Extrapolator Model
The Global Extrapolation Algorithm
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Utsav Patel
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.