Abstract
<jats:p>Background: Climate change is expanding the suitable habitat range for mosquito species into previously uninhabitable alpine regions, necessitating tools for projecting vector establishment risk. Objectives: This study presents the development of an agent-based cellular automaton simulation platform for modeling the establishment and spread of Aedes aegypti and Aedes albopictus mosquito populations in Tyrol, Austria. Methods: We developed a Java-based simulation platform integrating high-resolution weather data from meteorological stations for the year range of 2019-2024 with climate projections under RCP 2.6 and RCP 4.5 scenarios for the year range 2036-2040 and 2076-2080. The simulation uses a 100×100 cell grid (33×33 meters per cell) overlaying a region in Innsbruck, Austria, modeling species as agents with temperature-dependent development rates, stage-specific mortality, and dispersal patterns. Results: The platform enables comparison of vector population dynamics under current and projected climate conditions. Preliminary simulations demonstrate expected biological patterns, including seasonal population dynamics, species-specific cold tolerance differences, and spatial spread patterns. Conclusion: The platform provides a scalable computational foundation for evidence-based public health adaptation strategies, enabling proactive risk assessment for vector-borne diseases in alpine regions.</jats:p>