Identifiability and Model Misspecification for Modelling Recurrent Infections Using Routine Health Care Data.

Abstract

For infectious diseases where people can experience multiple infections during their lifetime, the time between observed infections in individuals (or "time to recurrence") can provide valuable information on infection and transmission dynamics. Routinely collected data, such as electronic health records, are a potential source of time to recurrence data. However, they are challenging to analyse because patients can drop out of the data set in a way which is not visible to the data collection process. Standard epidemiological approaches, such as parametric survival analysis with imputation, cannot be applied to such data. In this study, we explored the feasibility of interrogating routinely ..