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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
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Sierra Leone
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South Africa
South Sudan
Sudan
Tanzania
Togo
Tunisia
Uganda
Zambia
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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

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What does it mean ?
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:
Lesotho, Libya, Mauritius, SADR, Seychelles, Tunisia

Alternative Data Sources
   

New malaria infections

What does it mean ?

This is the number of confirmed new cases of malaria reported each year per every 1,000 people.

Why does it matter ?

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.

How is it collected ?

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, sources and calculations

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.

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