1. Data Loss: Some compression methods may result in loss of data quality, which can affect the accuracy of [epidemiological models](http://). 2. Processing Time: Higher levels of compression may require more processing time, which can be a bottleneck in [real-time analysis](http://). 3. Complexity: The need to adjust compression levels adds an extra layer of complexity to data management, requiring researchers to have a good understanding of both the data and the compression techniques.
