Developed a dual-strain LCT SECIR epidemiological model for the SciCompMod/memilio repository, enabling simultaneous simulation of two interacting diseases within a unified framework. The implementation in C++ introduced new compartmental states and interaction logic to accurately capture disease dynamics, supporting more robust scenario analysis and forecasting. Automated software tests were created to validate the two-strain model’s behavior, ensuring reliability and correctness. The work involved close collaboration with other contributors, integrating feedback and co-authored changes. This feature expanded the modeling capabilities of the framework and established a foundation for future extensions, with a focus on epidemiological modeling and software testing best practices.