This work presents a proposal for a tracking system that combines Bluetooth Low Energy (BLE) and GPS technologies, aiming to predict the time and location of new epidemic outbreaks while preserving privacy. The system utilizes BLE signals to detect proximity between users and GPS data to refine location tracking, particularly in outdoor environments where BLE accuracy may be limited. A geometric boundary box is introduced as a privacy-preserving tool, ensuring that users’ specific locations remain pseudo-anonymized while still allowing for effective epidemic monitoring. By integrating real-time movement data with historical infection trends, the system can predict potential hotspots and the timing of future outbreaks. This hybrid approach aims to enhance the accuracy of contact tracing while also improving the ability to respond to evolving pandemic situations, all while maintaining user privacy preemptively.