Malaria

 

# Empirical View

Up-to-date information on the current state of malaria is published by the Roll Back Malaria Partnership – a partnership between WHO, UNICEF, UNDP and the World Bank.

# Deaths due to Malaria

# Total Global Malaria Deaths by WHO region since 2000 – Max Roser1

Full screen view       Download Data

 

# Malaria Prevalence

# World Map of past and current Malaria prevalence – World Development Report (2009)2
World Map of past and current Malaria prevalence – World Development Report (2009)

# The Proportion of Deaths from Malaria to Deaths of all Causes – US Census 18703
The Proportion of Deaths from Malaria to Deaths of all Causes – US Census 18700

# Correlates, Determinants, & Consequences

# Estimated trend in proportion of households with at least one ITN (Insecticide Treated Net) and proportion of the population sleeping under an ITN in sub-Saharan Africa, 2000–2012 – WHO (2012)4

Estimated trend in proportion of households with at least one ITN (Insecticide Treated Net) and proportion of the population sleeping under an ITN in sub-Saharan Africa, 2000–2012 – WHO (2012)0

The following graph shows the strong correlation between Malaria and poverty suggesting that the strong decline of world poverty is contributing to the decline of Malaria prevalence.

# Relation between proportion of country’s population living in poverty and malaria mortality rates – WHO (2012)5
Relation between proportion of countrys population living in poverty and malaria mortality rates – WHO (2012)0

# Past and projected international funding for malaria control 2000–2015 – WHO (2012)6

Past and projected international funding for malaria control 2000–2015 – WHO (2012)0

# Measurement, Data Quality & Definitions

The United Nations give the following definitions:7

The malaria incidence rate (I) is the number of new cases of malaria (Cases) divided by the total population (Pop) and multiplied by 100,000.

 I = \frac{Cases}{Pop} * 100 000
The malaria death rate (I) is the number of deaths due to malaria (Deaths) divided by the total population (Pop) and multiplied by 100,000.

 I = \frac{Deaths}{Pop} * 100 000


# WHO estimates of the number of malaria deaths in 2010 – WHO (2012)8

Region
Estimate
Lower
Upper
% <5
African596 000429 000772 00091%
Region of the Americas1 1007001 80029%
Eastern Mediterranean15 3007 20023 50070%
European000
South-East Asia43 00031 10060 30032%
Western Pacific4 0002 4006 10041%
World660 000490 000836 00086%

 

# WHO estimates of the number of malaria cases (in thousands) in 2010 – WHO (2012)9
Region
Estimate
Lower
Upper
% falciparum
African174 000110 000242 00098%
Region of the Americas1 1009001 30035%
Eastern Mediterranean10 4006 40016 60083%
European0.20.20.2
South-East Asia32 00025 90041 90053%
Western Pacific1 7001 3002 10079%
World219 000154 000289 00090%

# Proportion of suspected malaria cases attending public health facilities that receive a diagnostic test, 2000–2011 – WHO (2012)10

Proportion of suspected malaria cases attending public health facilities that receive a diagnostic test, 2000–2011 – WHO (2012)0

# Data Sources

# World Health Organization (WHO)
  • Data: Data on Cases, Deaths (reported and estimates) and Prevention and treatment
  • Geographical coverage: Global – by country and WHO region
  • Time span: Since 2000 (for reported deaths); shorter for other measures.
  • Available at: Online here.
  • WHO data on malaria deaths and cases (1990-2006) is also available through Gapminder where it can be plotted against a second indicator.

# World Development Indicators (WDI) – published by the World Bank
  • Data: Children with fever receiving antimalarial drugs (% of children under age 5 with fever) – Use of insecticide-treated bed nets (% of under-5 population)
  • Geographical coverage: Global – by country & world region
  • Time span: Annual data – since 2000.
  • Available at: Online here.
  •  

# United Nations – Millennium Development Goals Database
  • Data: Notified cases of malaria (per 100,000 people) and Malaria Death Rate (all ages & ages 0-4)
  • Geographical coverage: Global – by country and region.
  • Time span: Only very recent data.
  • Available at: Online here.
  •  

# DHS Malaria Indicator Survey (MIS)
  • Data: Detailed Survey data from African countries
  • Geographical coverage: Some African countries.
  • Time span: late 2000s
  • Available at: Online here.

# The MARA/ARMA (Mapping Malaria Risk in Africa/Atlas du Risque de la Malaria en Afrique) project
  • Data: MARA LITe malaria prevalence data, distribution of the Anopheles gambiae, entomological inoculation rates, related climate data and malaria distribution maps and estimated populations at risk.
  • Geographical coverage:  Entire Africa – low level
  • Time span: Mostly recent data
  • Available at: Online at www.mara.org.za.
  • Often it is possible to download the data and to view the data visualized on maps.

# Conley, McCord and Sachs (2007) Malaria Dataset
  • Data: % of Population at Risk of Malaria.
  • Geographical coverage: Global – by country.
  • Time span: 1960 – 2000 (observations every 5 years – including interpolations)
  • Available at: Online here.
  •  

# WHO data on incidence of malaria cases
  • Data: Incidence of malaria cases
  • Geographical coverage: Global – by country.
  • Time span: 1962-1997 – annual data.
  • Available at: Online available at the website of Marta Reynal-Querol.
  •  

This website presents the long-term data on how we are changing our world – based on empirical evidence and visualised in graphs. Topic by topic, the empirical view of our world shows how the Enlightenment continues to make our world a better place. It chronicles how we are becoming less violent and increasingly more tolerant. The data displays how new ideas continue to improve living standards, allowing us to live a healthier, richer and happier life. It is the story of declining poverty and better food provision in a world we care about.

Written by Max Roser

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