MBITES

MBITES simulates adult mosquito behavior and ecology to quantify how behavioral states and activity bouts drive vectorial capacity and pathogen transmission.

Key Features:

• Individual-Based Simulation Models: Implements individual-based models of adult mosquitoes operating on complex resource landscapes generated using spatial point processes.
• Behavioral Algorithms and Activity Bouts: Represents behavioral states and state transitions through activity bouts so that vectorial capacity emerges from simple behavioral algorithms interacting with resource density and search behavior.
• Ordinary Differential Equation Model: Includes an ordinary differential equation model derived as Kolmogorov forward equations under specified assumptions to analyze aggregate behavior dynamics.
• Simulation and Analysis Tools: Provides simulation functions (trivial-simulation.R), C++ code for summary statistics (bionomics.cpp), and R scripts for processing and visualization (bionomics.R).

Scientific Applications:

• Vector-borne disease transmission analysis: Quantifies how mosquito behavioral dynamics influence pathogen transmission and vectorial capacity.
• Emergent property exploration: Studies how interactions between behavioral algorithms and heterogeneous resource landscapes produce emergent population-level bionomics.
• Intervention assessment: Evaluates how resource density and search requirements affect transmission potential to inform potential vector control strategies.

Methodology:

Constructs individual-based models capturing behavioral states and activity bouts; generates resource landscapes via spatial point processes; derives an ODE model as Kolmogorov forward equations; uses trivial-simulation.R to run simulations, bionomics.cpp to compute summary statistics, and bionomics.R to process and visualize outputs.