Data improvement in epidemiology refers to the systematic enhancement of the quality, accuracy, and utility of data used in the study of the distribution and determinants of health-related states or events. Enhanced data leads to better disease surveillance, more effective public health interventions, and improved health outcomes. This process involves various methods such as data cleaning, validation, integration, and advanced analytics.
