Detecting anomalies is essential for several reasons:
- Early Detection: They can serve as early warning signs of emerging health threats or outbreaks. - Quality Control: Identifying data errors or inconsistencies ensures the reliability of epidemiological analyses. - Hypothesis Generation: Anomalies can lead to new hypotheses about disease etiology or transmission dynamics. - Resource Allocation: Understanding anomalies helps in the efficient allocation of public health resources.
