Redundant systems in epidemiology refer to multiple, overlapping mechanisms designed to ensure the reliability, accuracy, and continuity of data collection, analysis, and dissemination. These systems act as a safeguard to minimize the risk of failure, errors, or data loss, thereby enhancing the robustness of public health responses.