| Description: |
This article explores four key questions about statistical models developed to describe the recent past and future of vector-borne diseases, with special emphasis on dengue. (1) How many variables should be used to make predictions about the future of vector-borne diseases? (2) Is the spatial resolution of a climate dataset an important determinant of model accuracy? (3) Does inclusion of the future distributions of vectors affect predictions of the futures of the diseases they transmit? (4) Which are the key predictor variables involved in determining the distributions of vector-borne diseases in the present and future? [Source: Philosophical Transactions of the Royal Society B | Biological Sciences]
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