Understanding the drivers of respiratory pathogen spread is challenging, particularly in a
timely manner during an ongoing epidemic. In this work, we present insights that we …

Epidemiological delays are key quantities that inform public health policy and clinical
practice. They are used as inputs for mathematical and statistical models, which in turn can …

Hospitals can be overburdened with large numbers of patients with severe infectious
conditions during infectious disease outbreaks. Such outbreaks or epidemics put …

Summary Background Coronavirus disease 2019 (COVID-19) outbreaks in acute care
settings can have severe consequences for patients due to their underlying vulnerabilities …

Accepted Manuscript Page 1 This is an Accepted Manuscript for Epidemiology & Infection.
Subject to change during the editing and production process. DOI: 10.1017/S0950268824000347 …

The reproduction number, the mean number of secondary cases infected by each primary
case, gives an indication of the effort required to control the disease. Beyond the well-known …

We propose an integral model describing an epidemic of an infectious disease. The model
is behavioural in the sense that the force of infection includes the information index that …

The reproduction number R has been a central metric of the COVID-19 pandemic response,
published weekly by the UK government and regularly reported in the media. Here, we …

Mathematical modelling has played an important role in offering informed advice during the
COVID-19 pandemic. In England, a cross government and academia collaboration …

The emergence of the novel coronavirus (COVID-19) generated a need to quickly and
accurately assemble up-to-date information related to its spread. In this research article, we …