Table 1.
The 15 themes from the CSO census data tables [17].
Table 2.
Differences in model results based on changes in the probability of infection in the model.
Fig 1.
The environment created by the model for the town of Schull, Ireland. The white lines are the boundaries of the small areas and the yellow agents are located at the agent households in the model.
Fig 2.
The curves are generated using a basic SEIR differential equation model. Equation based models have been proved to produces accurate results for real epidemics [33].
Fig 3.
SEIR infection curve for 10 runs of the model in a town in which no one was vaccinated or immune.
Fig 4.
Outbreaks by probability of infection.
Charts showing the change in average number of agents infected, the percent of runs leading to outbreaks and the maximum infected agents as the probability of infection changes.
Table 3.
Vaccination scenarios sensitivity analysis.
Table 4.
Differences in model results based on the percent chance of agents staying home when sick.
Fig 5.
Outbreaks by percent chance of staying home sick.
Charts showing the change in average number of agents infected, the percent of runs leading to outbreaks and the maximum infected agents as the percent chance of staying home sick increases.
Fig 6.
Average number of agents infected in Schull by age groups.
Fig 7.
Distribution of agents infected by week in four different runs.
Table 5.
Area, population and other characteristics for each of the 33 selected towns.
Fig 8.
Percent of runs leading to an outbreak.
Scatter plot of percent of runs resulting in outbreak and factors defining each town. Outbreak is percent of runs resulting in outbreaks, smallarea is the number of small areas in the town, students is the percent of students in the town, unvaccinated is the percent of unvaccinated agents in the town, density is the population density, and transmission is the probability of transmission per contact.
Table 6.
Correlation table for percent outbreaks and the other town characteristics.
Table 7.
Percent outbreaks, area and population for each of the 12 selected towns and Schull.
Fig 9.
Histograms showing the percent of runs by number of agents infected for Schull, Shanagolden, and Strokestown.
Fig 10.
Map showing the population density per sqkm in Schull from the 2011 Census [16].
Fig 11.
Map showing the population density per sqkm in Shanagolden from the 2011 Census [16].
Fig 12.
Map showing the population density per sqkm in Strokestown from the 2011 Census [16].