Clarivate Epidemiology’s coverage of schizophrenia comprises epidemiological estimates of key patient populations across 45 countries worldwide. We report both the diagnosed prevalence and the diagnosed incidence of schizophrenia 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 mature markets and Europe, and 10 years for the other countries we cover.
All forecast data are available on Clarivate’s 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.
Clarivate Epidemiology’s schizophrenia forecast answers the following questions:
- How will changes in the levels of exposure to known risk or protective factors affect the number of people living with a diagnosis of scgizophrenia and the number of new diagnoses of schizophrenia?
- In developing countries, what impact will economic growth and development have on the number of people living with a diagnosis of schizophrenia and the number of new diagnoses of schizophrenia?
- How will improvements in survival change the number of people living with a diagnosis of schizophrenia?
- Of all people diagnosed with schizophrenia, 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 schizophrenia over the forecast period?
In addition to the total number of cases for each forecast year, Clarivate Epidemiology provides at least 10 years of forecast data for the following schizophrenia subpopulations:
- Diagnosed incident cases.
- Diagnosed prevalent cases by symptom status.
- Diagnosed prevalent cases by comorbidity scheme.
- Diagnosed prevalent cases by treatment scheme.
Note: Coverage may vary by country.
Swarali Tadwalkar
Swarali Tadwalkar, M.P.H., is a principal epidemiologist at Clarivate. Previously, she was involved in primary and secondary healthcare research, including projects in digital health, health policy and management, and health economics and outcomes research (HEOR). Ms. Tadwalkar also coordinated various nongovernmental public health projects focusing on access to treatment for hepatitis and human papilloma virus. She received her M.P.H. from the University of South Florida in Tampa.
Nishant Kumar, M.P.H.
Nishant Kumar, M.P.H., is a senior director on the Epidemiology team at Clarivate. His areas of expertise are oncology and CNS diseases, including Alzheimer’s disease and dementia. His key interests in oncology are modeling disease progression and drug-treatable incident and prevalent populations. Previously, Mr. Kumar sized patient populations for rare and niche diseases, such as graft-versus-host disease and Duchenne muscular dystrophy. He earned his M.P.H. with a concentration in epidemiology and statistics from King’s College in London and a B.Sc. (Honors) in medical studies from the University of Birmingham.