Modeling larval malaria vector habitat locations using landscape features and cumulative precipitation measures

@inproceedings{McCann2014ModelingLM,
  title={Modeling larval malaria vector habitat locations using landscape features and cumulative precipitation measures},
  author={Robert Sean McCann and Joseph P. Messina and David W. MacFarlane and Mohamed Nabie Bayoh and John Vulule and John E. Gimnig and Edward D. Walker},
  booktitle={International journal of health geographics},
  year={2014}
}
BACKGROUND Predictive models of malaria vector larval habitat locations may provide a basis for understanding the spatial determinants of malaria transmission. METHODS We used four landscape variables (topographic wetness index [TWI], soil type, land use-land cover, and distance to stream) and accumulated precipitation to model larval habitat locations in a region of western Kenya through two methods: logistic regression and random forest. Additionally, we used two separate data sets to… CONTINUE READING