Application of geographical information system and remote sensing in malaria research and control in South Africa: a review

This paper presents a review of numerous items of published literature on the use of spatial technology for malaria epidemiology in South Africa between 1930 and 2013. In particular, focus is on the use of statistical and mathematical models as well as geographic information science (GIS) and remote...

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Bibliographic Details
Published in:Southern African journal of infectious diseases 2015-11, Vol.30 (4), p.114-121
Main Authors: Adeola, Abiodun Morakinyo, Botai, Joel O, Olwoch, Jane Mukarugwiza, Rautenbach, Hannes CJ de W, Kalumba, Ahmed M, Tsela, Philemon L, Adisa, Mayowa Omolola, Wasswa, Nsubuga Francis, Mmtoni, Paul, Ssentongo, Ausi
Format: Article
Language:English
Subjects:
Decision making
early warning system
environment
Epidemiology
Geographic information systems
GIS
Global positioning systems
GPS
Malaria
Mathematical models
modelling
Prediction models
Remote sensing
Reviews
Statistical analysis
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Summary:This paper presents a review of numerous items of published literature on the use of spatial technology for malaria epidemiology in South Africa between 1930 and 2013. In particular, focus is on the use of statistical and mathematical models as well as geographic information science (GIS) and remote sensing (RS) technology for malaria research. First, the review takes cognisance of the use of predictive models to determine the association between climatic factors and malaria epidemics only in KwaZulu-Natal province. Similar studies in other endemic regions such as Limpopo and Mpumalanga provinces have not been reported in the literature. While the integration of GIS with remote sensing has the potential of identifying, characterising, and monitoring breeding habitats and mapping malaria risk areas in South Africa, studies on the application of spatial technology in malaria research and control in South Africa are inexhaustive and have not been reported in the literature. As a result, a critical robust malaria warning system, which uses GIS and RS in South Africa, is yet to be realised. It is recommended that the wide range of datasets available from different sources including RS and global positioning systems (GPS) ought to be integrated into a GIS system, which is a core spatial technology vital for understanding the epidemiological processes of malaria and hence support in decision-making in malaria control.
ISSN:2312-0053
2313-1810
DOI:10.1080/23120053.2015.1106765