Stochastic SIR Data (Influenza)

4 inputs, 1 output, 2000 observations. Data from a stochastic susceptible-infectious-recovered (SIR) model which simulates the spread of an infectious disease. Simulations are performed using the \"EpiModel\" R package (Jenness et al. 2018). We consider a closed population of $5000$ susceptible people and a single infectious individual on day zero. During each potentially transmissible interaction (PTI), an infectious individual will infect a susceptible individual with probability x_1 and all individuals in the population interact at random with an average of x_2 PTIs per person per day. Each day, infectious individuals will recover from the disease with probability x_3. After 14 days, an intervention with efficacy x_4 is implemented. The response variable is taken to be the cumulative number of infected individuals at the end of a 21 day period. The relevant simulation inputs, and their ranges, are described in Rumsey et al. (2024).