Stochastic Petri net model describing the relationship between reported maternal and congenital syphilis cases in Brazil.
Ricardo A M ValentimGleyson J P Caldeira-SilvaRodrigo D da SilvaGabriela A AlbuquerqueIon G M de AndradeAna Isabela L Sales-MoioliTalita K de B PintoAngélica E MirandaLeonardo J Galvão-LimaAgnaldo S CruzDaniele Montenegro da Silva BarrosAnna Giselle C D R RodriguesPublished in: BMC medical informatics and decision making (2022)
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.