Large errors in epidemiological studies can significantly impact the sensitivity of diagnostic tests and surveillance systems. These errors can arise from various sources such as measurement error, sampling bias, or data misclassification. Large errors may lead to underestimation or overestimation of the true prevalence of a disease, thereby affecting the sensitivity of the tests used.
