Earth observation in support of malaria control and epidemiology: MALAREO monitoring approaches

Submitted: 24 February 2015
Accepted: 9 May 2015
Published: 3 June 2015
Abstract Views: 3849
PDF: 1336
HTML: 1206
Publisher's note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.


Malaria affects about half of the world's population, with the vast majority of cases occuring in Africa. National malaria control programmes aim to reduce the burden of malaria and its negative, socioeconomic effects by using various control strategies (e.g. vector control, environmental management and case tracking). Vector control is the most effective transmission prevention strategy, while environmental factors are the key parameters affecting transmission. Geographic information systems (GIS), earth observation (EO) and spatial modelling are increasingly being recognised as valuable tools for effective management and malaria vector control. Issues previously inhibiting the use of EO in epidemiology and malaria control such as poor satellite sensor performance, high costs and long turnaround times, have since been resolved through modern technology. The core goal of this study was to develop and implement the capabilities of EO data for national malaria control programmes in South Africa, Swaziland and Mozambique. High- and very high resolution (HR and VHR) land cover and wetland maps were generated for the identification of potential vector habitats and human activities, as well as geoinformation on distance to wetlands for malaria risk modelling, population density maps, habitat foci maps and VHR household maps. These products were further used for modelling malaria incidence and the analysis of environmental factors that favour vector breeding. Geoproducts were also transferred to the staff of national malaria control programmes in seven African countries to demonstrate how EO data and GIS can support vector control strategy planning and monitoring. The transferred EO products support better epidemiological understanding of environmental factors related to malaria transmission, and allow for spatio-temporal targeting of malaria control interventions, thereby improving the cost-effectiveness of interventions.



PlumX Metrics


Download data is not yet available.


Supporting Agencies

partially funded by the European Commission under the Seventh Framework Programme (FP7). Earth observation data were provided by the ESA managed GSC-DA, funded under ESA – EC Agreement on the Implementation of the Space Component of Global Monitoring

How to Cite

Franke, J., Gebreslasie, M., Bauwens, I., Deleu, J., & Siegert, F. (2015). Earth observation in support of malaria control and epidemiology: MALAREO monitoring approaches. Geospatial Health, 10(1).

List of Cited By :

Crossref logo

Similar Articles

1 2 3 > >> 

You may also start an advanced similarity search for this article.