Mathematical modelling of infectious diseases depends on timely and high-quality data, yet current data acquisition processes remain largely manual, slow, and inefficient. This results in two major challenges: data inaccessibility (due to restrictions or delays) and data redundancy (unused or irrelevant data). Both weaken research efficiency and model reliability.