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Table 3 Descriptions of the transitions mapped on the stochastic Petri net (SPN)

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

Transition \(\left( {t_{j} } \right)\)

Firing rate \(\left( {\lambda_{j} } \right)\)

Firing rate \(\lambda_{j}\) associated with \(t_{j}\) represents

\(t_{0}\)

\(\lambda_{0}\)

Probability of a case report of MS (p0) being diagnosed during prenatal care

\(t_{1}\)

\(\lambda_{1}\)

Probability of a case report of MS (p0) being diagnosed during PC

\(t_{2}\)

\(\lambda_{2}\)

Probability of a pregnant woman diagnosed during PC receiving adequate treatment

\(t_{3}\)

\(\lambda_{3}\)

Probability of a pregnant woman diagnosed during PC not receiving adequate treatment

\(t_{4} , t_{8}\)

\(\lambda_{4} , \lambda_{8}\)

Probability of an untreated case of MS leading to CS

\(t_{5} , t_{9}\)

\(\lambda_{5} , \lambda_{9}\)

Probability of an untreated case of MS not leading to CS

\(t_{6}\)

\(\lambda_{6}\)

Probability of a diagnosed and treated case of MS leading to CS

\(t_{7}\)

\(\lambda_{7}\)

Probability of a diagnosed and treated case of MS not leading to CS