Environmental factors and population at risk of malaria in Nkomazi municipality, South Africa

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dc.contributor.author Adeola, Abiodun Morakinyo
dc.contributor.author Botai, Joel Ongego
dc.contributor.author Olwoch, Jane Mukarugwiza
dc.contributor.author Rautenbach, Cornelis Johannes de Wet
dc.contributor.author Adisa, O.M. (Omolola)
dc.contributor.author Taiwo, O.J.
dc.contributor.author Kalumba, Ahmed M.
dc.date.accessioned 2016-07-21T06:09:39Z
dc.date.issued 2016-05
dc.description.abstract OBJECTIVE : Nkomazi local municipality of South Africa is a high-risk malaria region with an incidence rate of about 500 cases per 100 000. We examined the influence of environmental factors on population (age group) at risk of malaria. methods R software was used to statistically analyse data. Using remote sensing technology, a Landsat 8 image of 4th October 2015 was classified using object-based classification and a 5-m resolution. Spot height data were used to generate a digital elevation model of the area. RESULTS : A total of 60 718 malaria cases were notified across 48 health facilities in Nkomazi municipality between January 1997 and August 2015. Malaria incidence was highly associated with irrigated land (P = 0.001), water body (P = 0.011) and altitude ≤400 m (P = 0.001). The multivariate model showed that with 10% increase in the extent of irrigated areas, malaria risk increased by almost 39% in the entire study area and by almost 44% in the 2-km buffer zone of selected villages. Malaria incidence is more pronounced in the economically active population aged 15–64 and in males. Both incidence and case fatality rate drastically declined over the study period. CONCLUSION : A predictive model based on environmental factors would be useful in the effort towards malaria elimination by fostering appropriate targeting of control measures and allocating of resources. en_ZA
dc.description.department Centre for Environmental Studies en_ZA
dc.description.department Centre for Geoinformation Science en_ZA
dc.description.department Geography, Geoinformatics and Meteorology en_ZA
dc.description.embargo 2017-05-31
dc.description.librarian hb2016 en_ZA
dc.description.sponsorship This study was supported by the EU project ‘Quantifying Weather and Climate Impacts on health in developing countries’, an European Commission’s Seventh Framework Research Programme by providing a 2-year student bursary to the primary author. We acknowledge the support of the University of Pretoria, Centre for Sustainable Malaria Control and of the Earth and Atmospheric Remote Sensing Research Group, University of Pretoria. en_ZA
dc.description.uri http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1365-3156 en_ZA
dc.identifier.citation Adeola, AM, Botai, OJ, Olwoch, JM, Rautenbach, CJD, Adisa, OM, Taiwo, OJ & Kalumba, AM 2016, 'Environmental factors and population at risk of malaria in Nkomazi municipality, South Africa', Tropical Medicine and International Health, vol. 21, no. 5, pp. 675-686 en_ZA
dc.identifier.issn 1360-2276 (print)
dc.identifier.issn 1365-3156 (online)
dc.identifier.other 10.1111/tmi.12680
dc.identifier.uri http://hdl.handle.net/2263/56004
dc.language.iso en en_ZA
dc.publisher Wiley en_ZA
dc.rights © 2016 John Wiley and Sons, Ltd. This is the pre-peer reviewed version of the following article : Environmental factors and population at risk of malaria in Nkomazi municipality, South Africa, Tropical Medicine and International Health, vol. 21, no. 5, pp. 675-686, 2016. doi : 10.1111/tmi.12680. The definite version is available at : http://onlinelibrary.wiley.comjournal/10.1111/(ISSN)1365-3156. en_ZA
dc.subject Malaria en_ZA
dc.subject Environment en_ZA
dc.subject Landsat en_ZA
dc.subject Remote sensing en_ZA
dc.subject Object-based classification en_ZA
dc.subject Land use/land cover en_ZA
dc.subject Elevation en_ZA
dc.title Environmental factors and population at risk of malaria in Nkomazi municipality, South Africa en_ZA
dc.type Postprint Article en_ZA


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