Malaria: Epidemiology Forecast to 2027

Malaria is a vector-borne disease caused by parasites of the genus Plasmodium. Malaria is transmitted through the bite of the female Anopheles mosquito. Upon infecting a new human host, parasites first travel to liver cells and eventually infect erythrocytes (red blood cells). Once erythrocytes have been infected, patients may exhibit symptoms such as fever, headache, and chills. However, some patients exhibit no symptoms. If left untreated, malaria can progress to a severe form that results in cerebral malaria, anemia, respiratory distress, kidney failure, and possibly death.

GlobalData epidemiologists provide a 10-year epidemiological forecast for confirmed incident cases and confirmed deaths from malaria segmented by sex and age in these markets. This report also forecasts confirmed cases segmented by Plasmodium species, P. falciparum cases with K13 propeller mutations, and seroprevalence of Plasmodium infection in pregnant women.

In 2017, there were 33,158,385 confirmed incident cases of malaria in the 6MM. The DRC had the most cases with 15,915,007, while Indonesia had the fewest with 194,913. The number of confirmed cases in the 6MM is expected to grow to 39,960,547 by 2027, for an Annual Growth Rate (AGR) of 2.05%. In 2017, there were 49,490 confirmed deaths from malaria in the 6MM. The DRC had the most confirmed deaths with 38,938, while Indonesia had the fewest with 182. The number of confirmed deaths from malaria in the 6MM is expected to grow to 59,810 in 2027, for an AGR of 2.09%.

Scope

The Malaria Epidemiology Forecast Report and Epidemiology Forecast Model provide an overview of the risk factors and global trends of Malaria in the six major markets (6MM: the Democratic Republic of the Congo [DRC], Ghana, Kenya, Nigeria, India, and Indonesia).

This report also includes a 10-year epidemiological forecast for confirmed incident cases and confirmed deaths from malaria segmented by sex and age in these markets. This report also forecasts confirmed cases segmented by Plasmodium species, P. falciparum cases with K13 propeller mutations, and seroprevalence of Plasmodium infection in pregnant women.

The malaria allergy epidemiology forecast report and model were written and developed by Masters- and PhD-level epidemiologists.

 The Epidemiology Forecast Report is in-depth, high quality, transparent, and market-driven, providing expert analysis of disease trends in the 6MM.

 The Epidemiology Forecast Model is easy to navigate, interactive with dashboards, and epidemiology-based with transparent and consistent methodologies. Moreover, the model supports data presented in the report and showcases disease trends over a 10-year forecast period using reputable sources.

Reasons to buy

The Malaria Epidemiology Forecast series will allow you to:

Develop business strategies by understanding the trends shaping and driving the global malaria market.

Quantify patient populations in the global malaria market to improve product design, pricing, and launch plans.

Organize sales and marketing efforts by identifying the age groups and sex that present the best opportunities for malaria therapeutics in each of the markets covered.

Understand magnitude of malaria population by mutations.

Table of Contents

1 Table of Contents

1.1 List of Tables

1.2 List of Figures

2 Malaria: Executive Summary

2.1 Related Reports

2.2 Upcoming ...

1 Table of Contents

1.1 List of Tables

1.2 List of Figures

2 Malaria: Executive Summary

2.1 Related Reports

2.2 Upcoming Reports

3 Epidemiology

3.1 Disease Background

3.2 Risk Factors and Comorbidities

3.3 Global and Historical Trends

3.3.1 DRC

3.3.2 Ghana

3.3.3 Kenya

3.3.4 Nigeria

3.3.5 India

3.3.6 Indonesia

3.4 Forecast Methodology

3.4.1 Sources

3.4.2 Forecast Assumptions and Methods

3.5 Epidemiological Forecast for Malaria (20172027)

3.5.1 Confirmed Incident Cases of Malaria

3.5.2 Age-Specific Incident Cases of Malaria

3.5.3 Sex-Specific Incident Cases of Malaria

3.5.4 Confirmed Deaths from Malaria

3.5.5 Confirmed Incident Cases by Plasmodium Species

3.5.6 P. falciparum Cases with K13 Propeller Mutations

3.5.7 Seroprevalence of Plasmodium Infection in Pregnant Women

3.6 Discussion

3.6.1 Epidemiological Forecast Insight

3.6.2 Limitations of Analysis

3.6.3 Strengths of Analysis

4 Appendix

4.1 Bibliography

4.2 About the Authors

4.2.1 Epidemiologist

4.2.2 Reviewers

4.2.3 Global Director of Therapy Analysis and Epidemiology

4.2.4 Global Head and EVP of Healthcare Operations and Strategy

4.3 About GlobalData

4.4 Contact Us

4.5 Disclaimer

List of Tables

Table 1: Risk Factors and Comorbidities for Malaria

Table 2: 6M, Confirmed Incident Cases of Malaria, Men and Women, All Ages, Select Years, 2017–2027 ...

Table 1: Risk Factors and Comorbidities for Malaria

Table 2: 6M, Confirmed Incident Cases of Malaria, Men and Women, All Ages, Select Years, 2017–2027

Table 3: 6M, Confirmed Deaths from Malaria, Men and Women, All Ages, Select Years 2017–2027

List of Figures

Figure 1: 6MM, Confirmed Incident Cases of Malaria, Both Sexes, All Ages, 2017 and 2027

Figure 2: 6MM, Confirmed Deaths from Malaria, Both Sexes, All ...

Figure 1: 6MM, Confirmed Incident Cases of Malaria, Both Sexes, All Ages, 2017 and 2027

Figure 2: 6MM, Confirmed Deaths from Malaria, Both Sexes, All Ages, 2017 and 2027

Figure 3: 6M, Age-Standardized Confirmed Incidence of Malaria, Men, 2007–2027

Figure 4: 6M, Age-Standardized Confirmed Incidence of Malaria, Women, 2007–2027

Figure 5: Sources Used and Not Used for Calculation of Confirmed Incident Cases and Deaths

Figure 6: Sources Used and Not Used for Calculation of Cases by Plasmodium Species and K13 Mutations

Figure 7: Sources Used and Not Used for Calculation of Pregnant Women

Figure 8: Sources Used and Not Used for Calculation of Seroprevalence of Plasmodium Infection in Pregnant Women

Figure 9: 6M, Age-Specific Confirmed Incident Cases of Malaria, Men and Women, 2017

Figure 10: 6M, Sex-Specific Confirmed Incident Cases of Malaria, All Ages, 2017

Figure 11: 6M, Confirmed Incident Cases of Malaria by Plasmodium Species, Men and Women, All Ages, 2017

Figure 12: 6M, P. falciparum Cases with K13 Propeller Mutations, Men and Women, All Ages, 2017

Figure 13: 6M, Seroprevalence of Plasmodium Infection in Pregnant Women, 2017–2027

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