Select Countries

00
Select All
Clear All
Algeria
Angola
Benin
Botswana
Burkina Faso
Burundi
Cameroon
Cape Verde
Central African Rep
Chad
Comoros
Congo
Côte d’Ivoire
Djibouti
DRC
Egypt
Equatorial Guinea
Eritrea
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
Swaziland
Tanzania
Togo
Tunisia
Uganda
Zambia
Zimbabwe

Select Indicators

Clear All
00
Reproductive, Maternal, Neonatal and Child Health
Adolescent Fertility Rate
Births Attended by Skilled Personnel
Contraceptive Prevalence
Infant Mortality Rate
DPT3 Immunization Coverage in Children
Maternal Mortality Ratio
Neonatal Mortality Rate
Pregnant Women with 4 ANC Visits
Stunting Under 5 yrs
Under-5 Mortality Rate
Unmet Need for Family Planning
Women Who Received Post-partum Care
HIV and AIDS
Adults Tested for HIV and Know Status
HIV Knowledge (Men aged 15-24 yrs)
HIV Knowledge (Women aged 15-24 yrs)
HIV Patients Receiving Anti-retroviral Drugs
HIV Positive Pregnant Women who Receive Antiretrovirals
HIV and TB Treatment
HIV Prevalence (Females 15-24 yrs)
Pregnant Women Tested for HIV and Know Status
School Attendance of Orphans
Condom Use
Malaria and Tuberculosis
Malaria Incidence
Malaria Deaths
Pregnant Women who Received 3 Doses of IPT
Under 5s Treated with Anti-Malarial Drugs
Under 5s who Slept Under ITN
Under 5s with Fever in Last 2 Weeks Screened for Malaria
TB Case Detection Rate
TB Treatment Success Rate
Health Finance
General Gov Exp on Health as % of GGE
Out of Pocket Health Expenditure
Per Capita Public Funds for Health

Create Chart

 

 
 

Your Selection

Countries:
Indicators:
  • None selected
  • None selected

Indicator Title

Return

Indicator Information

Select Stats

Contact

Alphabetical order

Download
Print
What does it mean ?
Full Name:Incidence rate of Malaria
Full Unit:per 100,000 population
Year-range of Data:2012
Source:Millennium Development Goals Indicators
Link :http://mdgs.un.org/unsd/mdg/Data.aspx
Date Source Published:7th July 2014
Date Source Accessed:23rd October 2014

The following countries had no data:
Egypt, Lesotho, Libya, Mauritius, Morocco, SADR, Seychelles, Tunisia

Alternative Data Sources

Malaria Incidence

What does it mean ?

This is the number of new cases of malaria reported each year per every 100,000 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.

How is it collected ?

For countries with few cases of malaria, the reported cases by country surveillance systems are used. These are adjusted to account for under-reporting. Where malaria incidence is high or where surveillance data cannot be relied upon, estimates of new malaria cases derive from the number of people living in areas with high, low or no risk of malaria, based on results from studies that follow populations at risk of malaria over time.

Find out more about the Summary Definition and the Methodology for Collection and Calculation

Share this :

Close

Summary Definition, Methodology for Collection and Calculation

Alternative Data Sources

The data for each indicator on African Health Stats (AHS) are published by the UN agency, or UN inter-agency group, which holds responsibility for global monitoring of the indicator. This varies by indicator. Please refer to ‘Data Source’. AHS uses data from these sources because such data are internationally comparable and it is the mandate of those agencies to prepare such data and monitor progress internationally. In some cases the UN agency has made adjustments to the data in order to make national data internationally comparable, for example they may adjust national estimates to account for differences in survey design, the extent of potential underreporting, and the definition of what is being measured (eg. maternal deaths). This means that at times there may be discrepancies between national and international estimates. Individual countries may prefer to instead rely on national figures for national monitoring. For uniformity, AHS uses only international estimates of the UN agencies in data visualisations.

The following countries have communicated that they use alternative figures to monitor the indicator Malaria Incidence instead of the figures that appear in AHS data visualisations. The most recent alternative figure supplied by these countries, by source are: NA.

Collection Summary

For African countries with few cases of malaria, the number of cases reported by country surveillance systems is used. This information is adjusted to account for under-reporting (due to health services not reporting all cases, or infected individuals not using health services) and over-reporting (other diseases have the same symptoms as malaria). For countries where malaria incidence is high or where surveillance data cannot be relied upon, estimates of new malaria cases were derived from an estimate of the number of people living in areas with high, low or no risk of malaria, based on the result of studies that follow populations at risk of malaria over time. Estimates of new cases are adjusted downward for populations living in urban settings and to account for the expected impact of malaria prevention programmes.

CARMMA African Union

This site is managed by the African Union's Department of Social Affairs

Language:

English

French

Keep up to date:

Twitter

Facebook