Enhancing infectious disease mapping with open access resources.
نویسندگان
چکیده
The Spatial Ecology and Epidemiology Group (SEEG) at the University of Oxford is currently carrying out several disease and vector mapping projects. The source code for many of these projects have been and will continue to be made openly available through our GitHub account. This archive includes a description of the R software package ‘seegSDM’, that allows for species distribution modelling using a boosted regression tree approach and a walkthrough tutorial. This method has been successfully applied to diseases such as dengue, ebola virus, leishmaniasis, and anopheline vectors.
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عنوان ژورنال:
- Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin
دوره 19 49 شماره
صفحات -
تاریخ انتشار 2014