1. Efficiency: It allows for the comprehensive analysis of multiple targets in a single run, saving time and resources. 2. Sensitivity and Specificity: Improved diagnostic methods can differentiate between closely related pathogens. 3. Cost-effectiveness: Reduces the need for multiple tests, lowering overall costs. 4. Data Integration: Facilitates the collection of comprehensive data sets, aiding in more holistic disease surveillance and epidemiological studies.
