Data fusion refers to the process of integrating multiple data sources to produce more consistent, accurate, and useful information than that provided by any individual data source. In the context of epidemiology, data fusion combines diverse data sets from different origins, such as health records, environmental data, and social determinants of health, to enhance the understanding and management of disease patterns and health outcomes.