Over-compression can lead to the loss of critical information, which may compromise the quality and reliability of epidemiological analyses. Important nuances, patterns, and trends might be overlooked, potentially leading to incorrect conclusions and public health decisions. Therefore, it is vital to find a balance that preserves essential data while achieving compression.