Advances in Continuous and Discrete Models

Theory and Modern Applications

Table 1 Transition probabilities

From: Design of nonstandard computational method for stochastic susceptible–infected–treated–recovered dynamics of coronavirus model

\({T}_{{i}}= \mbox{Transition}\)	\({P}_{{i}}= \mbox{Probabilities}\)
\({T}_{{2}} = [ -{1} \ {1} \ {0} \ {0} ]^{{T}}\)	\({P}_{2} = \beta {SI}\Delta {t}\)
\({T}_{{3}} = [ -{1} \ {0} \ {0} ]^{{T}}\)	\({P}_{3} = \alpha {S}\Delta {t}\)
\({T}_{{4}} = [ -{1} \ {0} \ {1}\ {0} ]^{{T}}\)	\({P}_{4} = \delta S \Delta {t}\)
\({T}_{{5}} = [ {0} \ -{1} \ {0}\ {0} ]^{{T}}\)	\({P}_{5} = \alpha {I} \Delta {t}\)
\({T}_{{6}} = [ {0} \ -{1} \ {1} \ {0} ]^{{T}}\)	\({P}_{6} = \mu I \Delta {t}\)
\({T}_{{7}} = [ {0}\ {0}\ -{1}\ {0} ]^{{T}}\)	\({P}_{7} = \alpha T \Delta {t}\)
\({T}_{{8}} = [ {0}\ {0}\ -{1} \ {1} ]^{{T}}\)	\({P}_{8} =\rho {T} \Delta {t}\)
\({T}_{{9}} = [ {0} \ {0} \ {0}\ -{1} ]^{{T}}\)	\({P}_{9} =\alpha {R} \Delta {t}\)

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