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![]() | Algeria |
![]() | Angola |
![]() | Benin |
![]() | Botswana |
![]() | Burkina Faso |
![]() | Burundi |
![]() | Cameroon |
![]() | Cape Verde |
![]() | Central African Republic |
![]() | Chad |
![]() | Comoros |
![]() | Congo |
![]() | Côte d’Ivoire |
![]() | Djibouti |
![]() | DRC |
![]() | Egypt |
![]() | Equatorial Guinea |
![]() | Eritrea |
![]() | Eswatini |
![]() | Ethiopia |
![]() | Gabon |
![]() | Gambia |
![]() | Ghana |
![]() | Guinea |
![]() | Guinea-Bissau |
![]() | Kenya |
![]() | Lesotho |
![]() | Liberia |
![]() | Libya |
![]() | Madagascar |
![]() | Malawi |
![]() | Mali |
![]() | Mauritania |
![]() | Mauritius |
![]() | Morocco |
![]() | Mozambique |
![]() | Namibia |
![]() | Niger |
![]() | Nigeria |
![]() | Rwanda |
![]() | SADR |
![]() | São Tomé and Príncipe |
![]() | Senegal |
![]() | Seychelles |
![]() | Sierra Leone |
![]() | Somalia |
![]() | South Africa |
![]() | South Sudan |
![]() | Sudan |
![]() | Tanzania |
![]() | Togo |
![]() | Tunisia |
![]() | Uganda |
![]() | Zambia |
![]() | Zimbabwe |
![]() | Maternal, Newborn, Child and Adolescent Health |
![]() | Life expectancy at birth |
![]() | Maternal mortality ratio |
![]() | Stillbirth rate |
![]() | Neonatal mortality rate |
![]() | Infant mortality rate |
![]() | Under 5 mortality rate |
![]() | Antenatal care coverage: 4+ visits |
![]() | Antenatal care coverage: 8+ visits |
![]() | Births attended by skilled health personnel |
![]() | Postpartum care coverage for mothers |
![]() | Postnatal care coverage for newborns |
![]() | Exclusive breastfeeding for infants under 6 months |
![]() | Coverage of first dose of measles vaccination |
![]() | Stunting - short height for age under age 5 |
![]() | Wasting – low weight for height under age 5 |
![]() | Overweight - heavy for height under 5 |
![]() | Sexual and Reproductive Health |
![]() | Child marriage before age 15 |
![]() | Child marriage before age 18 |
![]() | Female genital mutilation |
![]() | Sexual violence by age 18 - female |
![]() | Sexual violence by age 18 - male |
![]() | Very early child bearing under age 16 |
![]() | Adolescent birth rate ages 15 to 19 |
![]() | Contraceptive prevalance rate, modern methods, all women |
![]() | Demand satisfied for modern contraception |
![]() | Communicable Diseases |
![]() | New HIV infections |
![]() | Antiretroviral treatment coverage |
![]() | Preventing mother-to-child transmission of HIV |
![]() | Condom use |
![]() | New TB infections |
![]() | New malaria infections |
![]() | Non-Communicable Diseases |
![]() | Mortality from non-communicable diseases |
![]() | Suicide mortality rate |
![]() | Current tobacco use among females aged 15 and over |
![]() | Current tobacco use among males aged 15 and over |
![]() | Harmful alcohol use aged 15 and over |
![]() | Health Financing |
![]() | External health expenditure as % current health expenditure |
![]() | Government health expenditure as % current health expenditure |
![]() | Government health expenditure as % GDP |
![]() | Government health expenditure as % general govt expenditure |
![]() | Government health expenditure per capita |
![]() | Out-of-pocket health expenditure as % of current health expenditure |
![]() | Percentage of national health budget allocated for reproductive health |
![]() | Health systems and policies |
![]() | Density of health workers - physicians |
![]() | Density of health workers - nurses and midwives |
![]() | Density of health workers - pharmaceutical staff |
![]() | Qualified obstetricians |
![]() | Birth registration |
![]() | At least basic drinking water |
![]() | At least basic sanitation services |
![]() | Open defecation |
![]() | Implementation of AMRH Initiative |
Full Name: | Malaria incident cases per 1,000 persons per year |
Full Unit: | Per 1,000 population |
Year-range of Data: | 2017 |
Source: | Global Strategy for Women's, Children's and Adolescents' Health (2016-2030) |
Link to Source: | http://apps.who.int/gho/data/node.gswcah |
Date Source Published: | 9th February 2019 |
Date Source Accessed: | 25th April 2019 |
![]() | The following countries had no data: |
This is the number of confirmed new cases of malaria reported each year per every 1,000 people.
Knowing the incidence rate of malaria is required for determining the need for treatment and services, particularly in more at-risk populations and in areas of limited resources. Changes in the incidence rate can indicate the burden of malaria on a population and allow for targeted interventions in high priority areas. Finally, it can help to judge the success of malaria control programs and their implementation. The malaria incidence rate is an indicator for monitoring Sustainable Development Goal 3: Health and Wellbeing; 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 also part of the Global Strategy for Women's, Children's and Adolescents' Health (2016-2030) under Survive: End preventable deaths.
Preferred sources of data are surveillance systems reporting complete data on malaria cases. These sources, however, are rarely available for large populations. Data on malaria cases usually need to be corrected for extent of health service use, incomplete reporting and lack of case confirmation. In areas of high malaria transmission with limited health service data but with good data on parasite prevalence the number of malaria cases can be estimated from parasite prevalence. The population at risk, which is the number of people living in areas where malaria transmission happens, is estimated using risk mapping and population data.
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More about indicator and sources
The global target for 2030 is to: reduce malaria case incidence globally compared with 2015 by at least 90%. However, countries may also set their own national or subnational targets, which may differ from the global targets. Read more from this link:
http://apps.who.int/iris/bitstream/10665/176712/1/9789241564991_eng.pdf?ua=1&ua=1
More information on calculations
This indicator is derived from the number of malaria cases divided by the population at risk i.e. the number of people living in areas where malaria transmission happens. The population at risk is estimated using risk mapping and population data.