We will develop a hidden Markov modelling framework for individual-level models of disease transmission. Such an approach allows for the incorporation of individual-level covariates, including spatial or network-based distance, as well as delayed and under-reporting of cases. Models developed will be used to gain a greater understanding of the epidemiology of diseases such as COVID-19, influenza and Ebola.