Updating Historical Maps of Malaria Transmission Intensity in East Africa Using Remote Sensing.

@article{Omumbo2002UpdatingHM,
  title={Updating Historical Maps of Malaria Transmission Intensity in East Africa Using Remote Sensing.},
  author={Judith A. Omumbo and Simon I. Hay and Scott J. Goetz and Robert W. Snow and David J. Rogers},
  journal={Photogrammetric engineering and remote sensing},
  year={2002},
  volume={68 2},
  pages={
          161-166
        }
}
Remotely sensed imagery has been used to update and improve the spatial resolution of malaria transmission intensity maps in Tanzania, Uganda, and Kenya. Discriminant analysis achieved statistically robust agreements between historical maps of the intensity of malaria transmission and predictions based on multitemporal meteorological satellite sensor data processed using temporal Fourier analysis. The study identified land surface temperature as the best predictor of transmission intensity… CONTINUE READING

Topics from this paper.

Citations

Publications citing this paper.
SHOWING 1-10 OF 35 CITATIONS

Bayesian modelling of geostatistical malaria risk data.

VIEW 7 EXCERPTS
CITES METHODS
HIGHLY INFLUENCED

Remote Sensing-Driven Climatic/Environmental Variables for Modelling Malaria Transmission in Sub-Saharan Africa

  • International journal of environmental research and public health
  • 2016
VIEW 13 EXCERPTS
CITES METHODS, RESULTS & BACKGROUND
HIGHLY INFLUENCED

The risks of malariainfection in Kenya in 2009

  • BMC infectious diseases
  • 2009
VIEW 4 EXCERPTS
CITES METHODS & BACKGROUND

Terra and Aqua: new data for epidemiology and public health.

  • International journal of applied earth observation and geoinformation : ITC journal
  • 2004
VIEW 7 EXCERPTS
CITES BACKGROUND