finalsize: Compute the Expected Epidemic Final Size

In davidearn/epigrowthfit: Nonlinear Mixed Effects Models of Epidemic Growth

Compute the Expected Epidemic Final Size

Description

Computes the proportion of a population expected to be infected over the course of an epidemic, as a function of the basic reproduction number.

Usage

finalsize(R0, S0, I0)

Arguments

R0	a numeric vector listing non-negative values for the basic reproduction number.
S0, I0	numeric vectors listing values in the interval [0,1] for the proportions of the population that are susceptible and infected, respectively, at the start of the epidemic. Hence S0 + I0 must be less than or equal to 1.

Details

At least one of S0 and I0 must be supplied. If S0 (I0) is supplied but not I0 (S0), then the latter is assigned the value of one minus the former.

R0, S0, and I0 are recycled to a common length (the maximum of their lengths).

Value

A numeric vector listing values in the interval [0,1] for the expected epidemic final size.

Computation

The basic reproduction number R0 defines the expected epidemic final size Z through an implicit equation,

Z = S0 * (1 - exp(-R0 * (Z + I0))) ,

which admits an explicit solution

Z = S0 + (1/R0) * W(-R0 * S0 * exp(-R0 * (S0 + I0))) .

Here, W denotes the Lambert W function. finalsize computes this solution, relying on function lambertW from package emdbook.

References

Ma, J. & Earn, D. J. D. (2006). Generality of the final size formula for an epidemic of a newly invading infectious disease. Bulletin of Mathetmatical Biology, 68(3), 679-702. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1007/s11538-005-9047-7")}

See Also

timescale, R0.

Examples

R0 <- 10^seq(-3, 1, length.out = 151L)
plot(R0, finalsize(R0, S0 = 1, I0 = 0), type = "l", las = 1,
     xlab = "basic reproduction number",
     ylab = "final size")

davidearn/epigrowthfit documentation built on Feb. 22, 2025, 12:44 p.m.