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.
In the displayed SIR equations, β represents the transmission rate per pair of people, one infected and one susceptible, which governs the flow of new infections. γ represents the removal or recovery rate, which governs the flow of infected individuals leaving the infected compartment to join the recovered or removed compartment.
Conditions: β is the transmission rate per pair.; γ is the removal/recovery rate.; The displayed model treats the population as divided into S, I, and R compartments.
In the displayed SIR equations, β represents the transmission rate per pair of people, one infected and one susceptible, which governs the flow of new infections. γ represents the removal or recovery rate, which governs the flow of infected individuals leaving the infected compartment to join the recovered or removed compartment.
Conditions: β is the transmission rate per pair.; γ is the removal/recovery rate.; The displayed model treats the population as divided into S, I, and R compartments.