  Vector-borne epidemics are the result of the combination of different factors
such as the crossed contagions between humans and vectors, their demographic
distribution and human mobility among others. The current availability of
information about the former ingredients demands their incorporation to current
mathematical models for vector-borne disease transmission. Here, relying on
metapopulation dynamics, we propose a framework whose results are in fair
agreement with those obtained from mechanistic simulations. This framework
allows us to derive an expression of the epidemic threshold capturing with high
accuracy the conditions leading to the onset of epidemics. Driven by these
insights, we obtain a prevalence indicator to rank the patches according to the
risk of being affected by a vector-borne disease. We illustrate the utility of
this epidemic risk indicator by reproducing the spatial distribution Dengue
cases reported in the city of Santiago de Cali (Colombia) from 2015 to 2016.
