Description: Malaria incidence cases per 1000 person per year
Unit2008200920102011201220132014201520162017201820192020202120222023
per 10001.76.81.47.24.11.07.05.04.01.02.0200000
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DATA IDENTIFICATION


Name
Malaria incidence per 1,000 population
Indicator purpose

The purpose of this indicator is to measure the incidence of malaria per 1,000 population to assess progress towards achieving SDG Target 3.3: ‘By 2030, end the epidemics of AIDS, tuberculosis, malaria and neglected tropical diseases and combat hepatitis, water-borne diseases and other communicable diseases’. This indicator provides essential data on the prevalence and impact of malaria, which is critical for understanding the burden of the disease, identifying high-risk areas and populations, and evaluating the effectiveness of malaria control and prevention programs. By monitoring this indicator, policymakers, stakeholders, and organizations can make informed decisions to promote sustainable development and address challenges such as reducing malaria transmission, improving access to malaria prevention measures and treatment, combating drug-resistant malaria, and enhancing public health interventions to control and eliminate malaria. This indicator helps to ensure that all populations, especially those living in malaria-endemic areas and at higher risk of malaria are included in efforts to achieve effective malaria prevention measures, timely diagnosis, and appropriate treatment, thereby contributing to the overall objective of sustainable, inclusive, and equitable growth. 

 

Abstract

This indicator measures the incidence of malaria per 1,000 population to monitor progress towards SDG Target 3.3: ‘By 2030, end the epidemics of AIDS, tuberculosis, malaria and neglected tropical diseases and combat hepatitis, water-borne diseases and other communicable diseases’. It is defined as the number of new cases of malaria per 1,000 people at risk each year, where the occurrence of malaria infection in a person in whom the presence of malaria parasites in the blood has been confirmed by a diagnostic test. The relevance of this indicator lies in its ability to provide critical data on the prevalence and impact of malaria, which is essential for understanding the effectiveness of malaria control programs, monitoring progress towards malaria elimination goals, and guiding resource allocation for malaria prevention and treatment efforts. The data for this indicator is collected through administrative reports, and it is calculated by dividing the number of new cases of malaria each year by total population of the year or mid-year estimates and multiplying by 1,000 to calculate the rate per 1,000 population. By tracking this indicator, stakeholders can gain valuable insights into the burden of the disease, identifying high-risk areas and populations, and evaluating the effectiveness of malaria control and prevention programs, enabling them to make informed decisions to promote sustainable development and address challenges such as reducing malaria transmission, improving access to malaria prevention measures and treatment, combating drug-resistant malaria, and enhancing public health interventions to control and eliminate malaria.

Data source

Ministry of Health and Wellness (MoHW)

DATA CHARACTERISTICS



Contact organization person
-
Date last updated
29-MAY-2024
Periodicity

Annual

Unit of measure

Cases per 1,000 population.

Other characteristics

Indicator definition: Incidence of malaria is defined as the number of new cases of malaria per 1,000 people at risk each year.
Geographical coverage: National
Data collection method: Administrative reports. 
Data availability: Data is available from 2008 to 2023.

DATA CONCEPTS and CLASSIFICATIONS



Classification used

N/A

Disaggregation

National

Key statistical concepts

Malaria incidence (1) is expressed as the number of new cases per 1,000 population per year with the population of a country derived from projections made by the UN Population Division and the total proportion at risk estimated by a country’s National Malaria Control Programme. More specifically, the country estimates what is the total proportion of the population at risk of malaria and then, for each year, the total population at risk is estimated as the UN Population for that year, times the proportion of the population at risk at baseline. The same proportion of the population at risk is used for the entire time series to ensure comparability of estimates through time.

For further reading into the methods used in different countries based on the data available, visit the link:

https://unstats.un.org/sdgs/metadata/files/Metadata-03-03-03.pdf 

Formula
-
OTHER ASPECTS



Recommended uses

Policy Development: Use the data to inform and shape policies aimed at improving malaria prevention, diagnosis, and treatment services, ensuring that resources are allocated effectively to reduce malaria incidence and mortality, particularly in high-burden areas and among vulnerable populations.
Program Planning and Implementation: Design and implement programs to improve access to comprehensive malaria prevention, diagnosis, and treatment services, tailored to the needs of local communities and guided by data on malaria incidence and risk factors.
Monitoring and Evaluation: track progress towards SDG Target 3.3 and evaluate the effectiveness of malaria control programs and interventions, using the data to measure outcomes, identify challenges, and guide adjustments for strategies to accelerate progress towards malaria elimination.
International Comparisons: Compare progress in reducing the mortality rate attributed to malaria across different countries, identifying best practices and strategies that can be shared to improve malaria prevention and control globally. 
Reporting and Accountability: Report progress to stakeholders, including governments and international organizations, to ensure accountability and transparency in achieving SDG Target 3.3.

Limitations
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Other comments

All the metadata shown in this document was gathered from United Nation Statistics Division. The metadata was extracted from https://unstats.un.org/sdgs/metadata/.