Schizophrenia Epidemiology Analysis and Forecast, 2021-2031

Schizophrenia Epidemiology Analysis and Forecast, 2021-2031

Summary

Schizophrenia is a chronic and debilitating mental illness, characterized by delusions, hallucinations, disorganized speech, trouble with thinking, and a lack of motivation. It is among the most disabling and economically catastrophic medical disorders. The disorder is characterized by the presence of both positive and negative symptoms. Positive symptoms tend to be psychotic and include hallucinations and delusions. Negative symptoms often occur years before the first psychotic event in affected individuals and can lead to the destruction of relationships, social exclusion, and withdrawal. Furthermore, individuals with schizophrenia can experience cognitive symptoms, such as difficulties with focusing and the ability to process and act on information. The diagnosis and treatment of persons with schizophrenia should contain recommendations on both the diagnostic work-up and the pharmacological, psychotherapeutic, and psychosocial treatment over their entire life span.

In the 7MM, 12-month total prevalent cases of schizophrenia are expected to increase from 5,121,015 cases in 2021 to 5,333,310 cases in 2031, at an annual growth rate (AGR) of 0.41%. In 2031, the US will have the highest number of 12-month total prevalent cases of schizophrenia in the 7MM, with 2,963,482 cases, whereas Italy will have the fewest 12-month total prevalent cases of schizophrenia with 229,556 cases.

In the 7MM, 12-month diagnosed prevalent cases of schizophrenia are expected to increase from 3,403,962 cases in 2021 to 3,492,498 cases in 2031, at an AGR of 0.26%. In 2031, the US will have the highest number of 12-month diagnosed prevalent cases of schizophrenia in the 7MM, with 1,959,920 cases, whereas Italy will have the fewest 12-month diagnosed prevalent cases of schizophrenia with 150,761 cases.

Scope

  • This report provides an overview of the risk factors, comorbidities, and the global and historical trends for schizophrenia in the seven major markets (7MM: US, France, Germany, Italy, Spain, UK, and Japan). The report provides a 10-year epidemiological forecast for 12‒month total prevalent cases and 12‒month diagnosed prevalent cases of schizophrenia.
  • The 12‒month diagnosed prevalent cases of schizophrenia are further segmented by age (13-17 years, 18-19 years, 20-29 years, 30-39 years, 40-49 years, 50-59 years, 60-69 years, 70-79 years, and 80 years and older) in these markets.
  • The schizophrenia epidemiology report is written and developed by Masters- and PhD-level epidemiologists.
  • The Epidemiology Report is in-depth, high quality, transparent and market-driven, providing expert analysis of disease trends in the 7MM.
Reasons to Buy

The schizophrenia epidemiology series will allow you to -
  • Develop business strategies by understanding the trends shaping and driving the global schizophrenia market.
  • Quantify patient populations in the global schizophrenia market to improve product design, pricing, and launch plans.
  • Organize sales and marketing efforts by identifying the age groups that present the best opportunities for schizophrenia therapeutics in each of the markets covered.
  • Enable to understand the magnitude of 12-month diagnosed prevalence of schizophrenia.


1 Schizophrenia: Executive Summary
1.1 Catalyst
1.2 Related reports
1.3 Upcoming reports
2 Epidemiology
2.1 Disease background
2.2 Risk factors and comorbidities
2.3 Global and historical trends
2.4 7MM forecast methodology
2.4.1 Sources
2.4.2 Forecast assumptions and methods
2.4.3 Forecast assumptions and methods: 12-month total prevalent cases of schizophrenia
2.4.4 Forecast assumptions and methods: 12-month diagnosed prevalent cases of schizophrenia
2.5 Epidemiological forecast for schizophrenia (2021-31)
2.5.1 12-Month total prevalent cases of schizophrenia
2.5.2 12-Month diagnosed prevalent cases of schizophrenia
2.5.3 Age-specific 12-month diagnosed prevalent cases of schizophrenia
2.5.4 Sex-specific 12-month diagnosed prevalent cases of schizophrenia
2.6 Discussion
2.6.1 Epidemiological forecast insight
2.6.2 COVID-19 impact
2.6.3 Limitations of the analysis
2.6.4 Strengths of the analysis
3 Appendix
3.1 Bibliography
3.2 About the authors
3.2.1 Epidemiologist
3.2.2 Reviewers
3.2.3 Global Director of Therapy Analysis and Epidemiology
3.2.4 Global Head and EVP of Healthcare Operations and Strategy
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List of Tables
Table 1: Summary of newly added data types
Table 2: Summary of updated data types
Table 3: Risk factors and comorbid conditions associated with schizophrenia
List of Figures
Figure 1: 7MM, 12-month total prevalent cases of schizophrenia, both sexes, N, ages ≥13 years, 2021 and 2031
Figure 2: 7MM, 12-month diagnosed prevalent cases of schizophrenia, both sexes, N, ages ≥13 years, 2021 and 2031
Figure 3: 7MM, 12-month total prevalence (%) of schizophrenia, both sexes, ages ≥13 years, 2021
Figure 4: 7MM, 12-month diagnosed prevalence (%) of schizophrenia, men and women, ages ≥13 years, 2021
Figure 5: 7MM, sources used to forecast the 12-month total prevalent cases of schizophrenia
Figure 6: 7MM, sources used and not used to forecast the 12-month diagnosed prevalent cases of schizophrenia
Figure 7: 7MM, 12-month total prevalent cases of schizophrenia, N, both sexes, ages ≥13 years, 2021
Figure 8: 7MM, 12-month diagnosed prevalent cases of schizophrenia, N, both sexes, ages ≥13 years, 2021
Figure 9: 7MM, 12-month diagnosed prevalent cases of schizophrenia by age, N, both sexes, 2021
Figure 10: 7MM, 12-month diagnosed prevalent cases of schizophrenia by sex, N, ages ≥13 years, 2021

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