Spatio-Temporal Analysis of Mosquito Populations Through Agent-Based Simulation

Mosquitoes, particularly Aedes aegypti, are primary vectors of diseases such as dengue, Zika, and chikungunya. Understanding their population dynamics is crucial for designing effective control strategies. Traditional models primarily focus on temporal variations and fail to capture the spatial heterogeneity necessary for targeted interventions. This work presents an agent-based model to analyze the spatiotemporal distribution of Aedes aegypti populations. The model assumes constant entomological parameters and incorporates spatial dynamics, including breeding site heterogeneity and adult mosquito movement. Population dynamics are modeled through stochastic processes governing birth, maturation, and mortality. Adult mosquitoes move following two strategies: random movement and directed displacement toward breeding sites. Preliminary results indicate the existence of a population equilibrium, suggesting that the model can be useful for assessing mosquito control strategies. Future work will refine movement rules and validate the model against field data.