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GGplot can be used in SIR (Susceptible-Infected-Recovered) models by creating various visualizations to understand the spread of infectious diseases. Below are some examples of how ggplot can be used in SIR models:

1. Plotting the number of infected individuals over time: This can help to understand the rate of spread of the disease and the effectiveness of intervention methods such as quarantine measures and vaccination programs.

2. Creating stacked bar charts to show the distribution of individuals across the susceptible, infected and recovered categories over time.

3. Creating heatmaps to display hotspots of infection across geographical regions.

4. Plotting the reproductive number (R0) over time to understand how contagious the disease is.

By using ggplot in SIR models, we can create interactive and informative visualizations that can help in making data-driven decisions to combat the spread of infectious diseases.