TY - JOUR
T1 - Epidemics in heterogeneous populations
T2 - II. Nonexponential incubation periods and variable infectiousness
AU - Cairns, A. J G
PY - 1990
Y1 - 1990
N2 - Two stochastic models for the spread of an infection through a heterogeneous population are considered. First, we consider a model where the incubation period has an increasing hazard rate but constant infectiousness; in the second model, the incubation period is the sum of p exponentially distributed stages, each with its own mean and level of infectiousness. By using multitype birth-death and branching processes as approximations to each epidemic model, it is shown that the epidemics initially have underlying exponential growth. Furthermore, the growth rate ? is an increasing function of the Frobenius root of the matrix of reproductive ratios Ro. The results have applications in long-term sensitivity analyses, model fitting, and the determination of optimal vaccination strategies. © 1990 Oxford University Press.
AB - Two stochastic models for the spread of an infection through a heterogeneous population are considered. First, we consider a model where the incubation period has an increasing hazard rate but constant infectiousness; in the second model, the incubation period is the sum of p exponentially distributed stages, each with its own mean and level of infectiousness. By using multitype birth-death and branching processes as approximations to each epidemic model, it is shown that the epidemics initially have underlying exponential growth. Furthermore, the growth rate ? is an increasing function of the Frobenius root of the matrix of reproductive ratios Ro. The results have applications in long-term sensitivity analyses, model fitting, and the determination of optimal vaccination strategies. © 1990 Oxford University Press.
UR - http://www.scopus.com/inward/record.url?scp=77957178534&partnerID=8YFLogxK
U2 - 10.1093/imammb/7.4.219
DO - 10.1093/imammb/7.4.219
M3 - Article
SN - 1477-8599
VL - 7
SP - 219
EP - 230
JO - Mathematical Medicine and Biology
JF - Mathematical Medicine and Biology
IS - 4
ER -