The basic SIR model is written as a system of ordinary differential equations describing transfers between compartments: susceptibles decrease by infection, infecteds gain infections and lose cases by recovery or removal, and recovereds increase by removal from the infected class. The equations are dtdS=−βSI, dtdI=βSI−γI, and dtdR=γI.
Conditions: The population is modeled as well mixed.; The dynamics are represented by global rate equations rather than spatially resolved equations.
The basic SIR model is written as a system of ordinary differential equations describing transfers between compartments: susceptibles decrease by infection, infecteds gain infections and lose cases by recovery or removal, and recovereds increase by removal from the infected class. The equations are dtdS=−βSI, dtdI=βSI−γI, and dtdR=γI.
Conditions: The population is modeled as well mixed.; The dynamics are represented by global rate equations rather than spatially resolved equations.
The SIR model assumes a well-mixed population to allow transmission and removal to be summarized by global rate equations rather than spatially resolved descriptions. This assumption omits detailed information about contact networks, physical locations, and heterogeneous interactions, treating the population as if everybody effectively sees everybody else.
Conditions: The model is the displayed Kermack-McKendrick SIR system.; The dynamics are represented by global rate equations rather than spatially resolved equations.
The SIR model assumes a well-mixed population to allow transmission and removal to be summarized by global rate equations rather than spatially resolved descriptions. This assumption omits detailed information about contact networks, physical locations, and heterogeneous interactions, treating the population as if everybody effectively sees everybody else.
Conditions: The model is the displayed Kermack-McKendrick SIR system.; The dynamics are represented by global rate equations rather than spatially resolved equations.