Data fusion is crucial in epidemiology because it allows researchers to: 1. Gain a more comprehensive view of public health issues. 2. Improve the accuracy of disease surveillance and prediction models. 3. Enhance the quality of healthcare interventions. 4. Optimize resource allocation for disease prevention and control. 5. Facilitate the identification of risk factors and the development of targeted health policies.
