Luca_epimodel_agegroup:

• Add metadata dataframe for each individual specifying age group and sex based on demography data
• Set up network so that connections within age groups is more likely than outside age groups
• Make children transmit the disease with a higher probability
• Plots number of infected people at each time point (would it be better to plot the newly infected at each timepoint?) while changeing the percentage of age groups in the population
  • As the children transmit the disease with bigger probability I would expect the higher children percentage populations to have a steeper curve (also it would rise earlier on)
  • However from the current figures I can only see the shift on x axis and not in steepness

netepi_recovery (Benedek):

• Recovery added to the basic epidemic network model: at each time step recovered individuals are chosen based on recovery.time and rec.prob parameters. Recovery time indicates the required minimal elapsed time to recover.
• Network dynamics: swapping edges in each time step, keep node degree the same; optional: deleting p proportion of edges in each time step
• Group info in each time step is stored in a dataframe (recovered, infected, susceptible groups).
• Plots: epidemic line plot of change of groups (S, I, R) in time; boxplot of repeated epidemic simulation durations; histogram of the distribution of epidemic simulations