Abstract
Models of vector borne diseases are traditionally based on detailed knowledge of the pathogen, host, vector, and transmission process. Widely-used compartmental models, for example, contain several differential equations and parameters for each species of vector and host. Alternative approaches take advantage of big data and machine learning to predict disease incidence, but provide litt…