Since the beginning of the COVID-19 pandemic, there has been intense debate over SARS-
CoV-2's mode of transmission and appropriate personal protective equipment for health …

The recent availability of survey data on social contact patterns has made possible important
advances in the understanding of the social determinants of the spread of close-contact …

Understanding infection dynamics of respiratory diseases requires the identification and
quantification of behavioural, social and environmental factors that permit the transmission …

We extend the unstructured homogeneously mixing epidemic model introduced by
Lamprinakou et al.(2023) to a finite population stratified by age bands. We model the actual …

In recent years, it has been shown that individual heterogeneity in the acquisition of
infectious diseases has a large impact on the estimation of important epidemiological …

Frailty models are often used in survival analysis to model multivariate time-to-event data. In
infectious disease epidemiology, frailty models have been proposed to model heterogeneity …

Large outbreaks, such as those caused by influenza, put a strain on resources necessary for
their control. In particular, children have been shown to play a key role in influenza …

Frailty models have a prominent place in survival analysis to model univariate and
multivariate time-to-event data, often complicated by the presence of different types of …

The contact interval in an ordered pair (i, j) is the time from the onset of infectiousness in i
until infectious contact from i to j, where infectious contact is defined to be a contact sufficient …

The word 'epidemiology'is derived from the Greek words 'epi'(upon),'demos'(people) and
'logos'(study) meaning study upon populations. Infectious disease epidemiology studies the …