Table 3.

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

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