The epidemic starts growing when (N−1)β/γ>1 because this condition ensures that the initial rate of new infections exceeds the rate of removals. With one initial infective (I=1) and S=N−1, the infected equation dtdI=βSI−γI becomes positive only if the infection-production term β(N−1) is greater than the removal term γ.
Conditions: Applies at the start of the outbreak.; Uses the single-infective initialization I(0)=1.; Assumes the SIR dynamics shown on the board.; γ>0 is assumed implicitly by division by γ.
The epidemic starts growing when (N−1)β/γ>1 because this condition ensures that the initial rate of new infections exceeds the rate of removals. With one initial infective (I=1) and S=N−1, the infected equation dtdI=βSI−γI becomes positive only if the infection-production term β(N−1) is greater than the removal term γ.
Conditions: Applies at the start of the outbreak.; Uses the single-infective initialization I(0)=1.; Assumes the SIR dynamics shown on the board.; γ>0 is assumed implicitly by division by γ.
The basic reproductive number R0 is the expected number of secondary infections produced by one infected individual in the initial population setting used by the model. In this lecture, it is written as (N−1)β/γ or β^/γ.
Conditions: Defined for the SIR model under the initial condition I(0)=1.; β^ is the lumped exposure-rate parameter introduced in this segment.; The quantity is the same R0 derived from the initial-growth condition.; The model context is the SIR framework displayed on the board.
The basic reproductive number R0 is the expected number of secondary infections produced by one infected individual in the initial population setting used by the model. In this lecture, it is written as (N−1)β/γ or β^/γ.
Conditions: Defined for the SIR model under the initial condition I(0)=1.; β^ is the lumped exposure-rate parameter introduced in this segment.; The quantity is the same R0 derived from the initial-growth condition.; The model context is the SIR framework displayed on the board.