MGDrivE 2
MGDrivE 2 simulates gene drive systems in mosquito populations to model ecological and epidemiological dynamics, including seasonal variation, spatial spread, and impacts on human-mosquito pathogen transmission.
Key Features:
- Seasonal Dynamics: Time-varying parameters respond to environmental data such as temperature and rainfall to simulate seasonal patterns in mosquito population density.
- Epidemiological Module: Models reciprocal pathogen transmission between humans and mosquitoes to link gene drive dynamics to disease transmission.
- Stochastic Petri Nets Framework: Implements models using stochastic Petri nets, supporting both deterministic and stochastic interpretations.
- Spatially-Explicit Simulations: Enables spatially-explicit modeling of gene drive spread through mosquito populations.
- CRISPR-Based Homing Gene Drive Systems: Includes simulations of CRISPR-based homing drives to model the spread of disease-refractory genes in mosquito populations.
- Continuous-Time Simulation and Sampling: Employs a continuous-time simulation approach with various sampling algorithms for temporal dynamics.
Scientific Applications:
- Evaluation for Field Trials: Supports evaluation of gene drive constructs as they approach field application by modeling expected ecological and epidemiological outcomes.
- Prediction of Epidemiological Impact: Predicts impacts on human disease incidence and prevalence through coupled human-mosquito transmission models.
- Entomological Outcome Modeling: Informs expected entomological outcomes that may be measured in initial field trials.
- Spatial Spread Assessment: Assesses how gene drives may disseminate in real-world environments via spatially-explicit simulations.
Methodology:
Continuous-time simulation approach with various sampling algorithms; implementation via stochastic Petri nets supporting deterministic and stochastic formulations; time-varying parameters driven by environmental data (temperature, rainfall); epidemiological module modeling reciprocal pathogen transmission between humans and mosquitoes; spatially-explicit modeling of gene drive spread.
Topics
Details
- Tool Type:
- library
- Programming Languages:
- R
- Added:
- 1/18/2021
- Last Updated:
- 2/22/2021
Operations
Publications
Wu SL, Bennett JB, Sánchez C. HM, Dolgert AJ, León TM, Marshall JM. MGDrivE 2: A simulation framework for gene drive systems incorporating seasonality and epidemiological dynamics. Unknown Journal. 2020. doi:10.1101/2020.10.16.343376.