Fine-scale malaria risk mapping from routine aggregated case data

@inproceedings{Sturrock2014FinescaleMR,
  title={Fine-scale malaria risk mapping from routine aggregated case data},
  author={Hugh J. W. Sturrock and Justin M Cohen and Petr Keil and Andrew J. Tatem and Arnaud Le Menach and Nyasatu E Ntshalintshali and Michelle S Hsiang and Roland D. Gosling},
  booktitle={Malaria Journal},
  year={2014}
}
BackgroundMapping malaria risk is an integral component of efficient resource allocation. Routine health facility data are convenient to collect, but without information on the locations at which transmission occurred, their utility for predicting variation in risk at a sub-catchment level is presently unclear.MethodsUsing routinely collected health facility level case data in Swaziland between 2011–2013, and fine scale environmental and ecological variables, this study explores the use of a… CONTINUE READING
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References

Publications referenced by this paper.
SHOWING 1-10 OF 38 REFERENCES

Package Gdistance: Distances and Routes on Geographical Grids (version 1.1-4)

J RVanEtten
  • 2012
VIEW 1 EXCERPT