Abstract
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.
| Original language | English |
|---|---|
| Pages (from-to) | 219-230 |
| Number of pages | 12 |
| Journal | Mathematical Medicine and Biology |
| Volume | 7 |
| Issue number | 4 |
| DOIs | |
| Publication status | Published - 1990 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
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