The reliability of facial recognition technology can vary based on factors such as image quality, lighting conditions, and the algorithms used. While advancements have improved accuracy, there are still concerns about false positives and false negatives. Ensuring high accuracy is crucial for its effective application in epidemiology, as errors could lead to incorrect identification and subsequent public health actions.