# Mixing and Infection in a Two-Group SIS Model

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Consider a population composed of two groups of equal size (designated 1 and 2), in which individuals can be either "infected" or "susceptible." In each time period, each individual has a probability of interacting with another individual. With probability , this interaction is with an individual of the other group. Susceptible individuals become infected only if they interact with an infected individual, and in that case they do so with probability , where denotes the individual's group. Infected individuals become susceptible with probability .

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Contributed by: Segismundo S. Izquierdo, Luis R. Izquierdo and Dunia López-Pintado (January 2018)

Open content licensed under CC BY-NC-SA

## Snapshots

## Details

The evolution of the fraction of infected individuals in group over time is described by the following system of nonlinear differential equations:

,

where and . These equations can be rewritten as:

.

This model is analyzed in detail in [1].

Snapshot 1: by increasing the population mixing beyond 40%, the infection level decreases in both groups

Snapshot 2: by increasing the population mixing beyond 33%, the infection level decreases in both groups, until the mixing level is greater than 60%, in which case the infection dies out in the whole population

Snapshot 3: by increasing the population mixing beyond 62%, the infection level decreases in both groups, but the infection never dies out completely

Snapshot 4: An increase in mixing always benefits the sensitive group (i.e. group 2, since ) at the expense of the resistant group. The total population infection level is maximal at an intermediate level of mixing.

Snapshot 5: An increase in mixing always benefits the sensitive group (i.e. group 2, since ) at the expense of the resistant group. The total population infection level increases with mixing.

Reference

[1] S. S. Izquierdo, L. R. Izquierdo and D. López-Pintado, "Mixing and Diffusion in a Two-Type Population." Royal Society Open Science 5(2) 172102. (2018) dx.doi.org/10.1098/rsos.172102.

## Permanent Citation