Data: Results of simulations from the model posterior

These simulations set the antimicrobial and hospital exposure to arbitrary values, set starting probability of colonisation to 0.5 then draw parameter values from the posterior of the fitted model (btESBL_model2posterior) to generate probability of being ESBL colonised a time t later

btESBL_model2simulations

Format

A data frame with 600,000 rows and 18 variables:

sim_run

Simulation run ID

draw

Unique ID of draw from posterior (1,2...1000)

time

Time t in days

hosp_days

Number of days of hospitalisation

abx_days

Number of days of antimicrobial exposure

pr_esbl_pos_t0esblneg

Probability of ESBL colonisation at time t conditional on no colonisation at time 0

pr_esbl_pos_t0esblpos

Probability of ESBL colonisation at time t conditional on colonisation at time 0

pr_esbl_pos

Overall estimated prevalence of ESBL colonisation at time t assuming initial prevalence 0.5

prev_hosp

Time of cessation of prev hospitalisation (999=none)