4.3 Article

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

Journal

TROPICAL MEDICINE & INTERNATIONAL HEALTH
Volume 21, Issue 5, Pages 675-686

Publisher

WILEY-BLACKWELL
DOI: 10.1111/tmi.12680

Keywords

malaria; environment; Landsat; remote sensing; object-based classification; land use/land cover; elevation

Funding

  1. EU
  2. European Commission
  3. University of Pretoria, Centre for Sustainable Malaria Control
  4. Earth and Atmospheric Remote Sensing Research Group, University of Pretoria

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ObjectiveNkomazi 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. Methodsr 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. ResultsA 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. ConclusionA 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.

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