To tackle data quality issues, epidemiologists can implement several strategies:
1. Data Cleaning: This involves identifying and correcting errors or inconsistencies in the data. 2. Data Validation: Verifying the accuracy and reliability of data through cross-checking with other sources or using statistical methods. 3. Training: Ensuring that data collectors and analysts are adequately trained to minimize errors during data collection and entry.
