Anomalies in epidemiology refer to unexpected patterns or deviations in data that do not conform to the anticipated trends or distributions. These anomalies can signal potential issues, such as data errors, emerging health threats, or previously unidentified risk factors. Understanding and addressing these anomalies is crucial for effective public health interventions and policies.
