Addressing data gaps and limitations is a significant challenge in epidemiology. Strategies to overcome these issues include triangulation of data from multiple sources, enhancing data collection infrastructure, and using statistical methods to account for missing data. Continuous training and capacity-building for health workers are also essential to improve data quality and reliability.
