MGDrivE is a model designed to be a reliable testbed where various gene drive interventions for mosquito-borne diseases control. It is being developed to accommodate the use of various mosquito-specific gene drive systems within a population dynamics framework that allows migration of individuals between patches in landscape.

For more information take a look at our website; where you'll find a thorough description, documentation and examples.

Click the image to watch a video description.

This software is freely available under the GPL3 License.

MGDrivE depends upon the following third-party packages: RCPP, data.table, R6, and Rdpack. The documentation and vignettes depend on roxygen2, knitr, and rmarkdown; which can be installed with the following command (in the R console):

install.packages(c("Rcpp","data.table","R6","Rdpack","roxygen2","knitr","rmarkdown"))

Once these packages are installed, the package can be installed with:

install.packages("MGDrivE")

and loaded:

library(MGDrivE)

Please take a look at our examples folder for demos.

To facilitate the data analysis of the results produced by MGDrivE, we provide a python package MoNeT_MGDrivE installable through pip.

This package is part of our companion project: MoNeT, so have a look at the project's website for information on some of the work we are doing!

This model is being supported and developed as part of the following research projects: UCI Malaria Initiative, DARPA: Safe Genes, IGI