Necessity of Multiple Rounds of Nucleic Acid Detection: Application of Bayesian Decision Theory in Real Life

Abstract

Bayesian Decision is a risk-based decision that uses the Bayesian formula to combine prior probability with conditional probability, which helps people make more mathematically logical inferences in the continuous updating of data and facts. In this paper, Bayesian Decision will be applied to analyze the necessity of multiple rounds of nucleic acid detection in middle and high risk areas up against the epidemic. Besides, data processing will be conducted in positive patients and negative patients. Then Bayesian factor is introduced to simplify the calculation to draw the corresponding conclusions, and the practical application value of Bayesian Decision is prospected.