Stochastic Petri net model describing the relationship between reported maternal and congenital syphilis cases in Brazil

Abstract

The SPN approach proved to be suitable for explaining the Notifiable Diseases Information System (SINAN) dataset using the range of 75-95% for the probability of an untreated MS case leading to a CS case (PUMLC). In addition, the model's predictive power can help plan actions to fight against the disease.