
Annika Jungklaus developed a dual-strain LCT SECIR epidemiological model for the SciCompMod/memilio repository, enabling simultaneous simulation of two interacting diseases within a unified framework. She implemented compartmental logic in C++ to represent each strain and their interactions, expanding the model’s forecasting and scenario analysis capabilities. Annika incorporated automated software tests to validate the two-strain dynamics, ensuring model reliability and readiness for future extensions. Her work involved close collaboration with other contributors, as reflected in co-authored commits. This contribution deepened the epidemiological modeling toolkit, demonstrating strong skills in C++ development, epidemiological modeling, and rigorous software testing practices.
January 2026 monthly summary for SciCompMod/memilio: Delivered a dual-strain LCT SECIR model enabling simultaneous modeling of two diseases and their interactions, with dedicated tests and collaboration highlights. This work expands epidemiological modeling capabilities, improves scenario analysis and forecasting accuracy, and lays groundwork for deployment and future extensions.
January 2026 monthly summary for SciCompMod/memilio: Delivered a dual-strain LCT SECIR model enabling simultaneous modeling of two diseases and their interactions, with dedicated tests and collaboration highlights. This work expands epidemiological modeling capabilities, improves scenario analysis and forecasting accuracy, and lays groundwork for deployment and future extensions.

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