Mathematical modelling and statistical inference provide a framework to evaluate different
non-pharmaceutical and pharmaceutical interventions for the control of epidemics that has …

Standard contact tracing practice for COVID-19 is to identify persons exposed to an infected
person during the contagious period, assumed to start two days before symptom onset or …

Inferring the relative strength (ie the ratio of reproduction numbers) and relative speed (ie the
difference between growth rates) of new SARS-CoV-2 variants is critical to predicting and …

The importance of spatial networks in the spread of an epidemic is an essential aspect in
modeling the dynamics of an infectious disease. Additionally, any realistic data-driven model …

To complement labour-intensive conventional contact tracing, digital proximity tracing was
implemented widely during the COVID-19 pandemic. However, the privacy-centred design …

New disease challenges, societal demands and better or novel types of data, drive
innovations in the structure, formulation and analysis of epidemic models. Innovations in …

The SARS-CoV-2 epidemic has been extended by the evolution of more transmissible viral
variants. In autumn 2020, the B. 1.177 lineage became the dominant variant in England …

Diagnostic testing followed by isolation of identified cases with subsequent tracing and
quarantine of close contacts—often referred to as test-trace-isolate-and-quarantine (TTIQ) …

We consider nonlinear delay differential and renewal equations with infinite delay. We
extend the work of Gyllenberg et al.[Appl. Math. Comput., 333 (2018), pp. 490–505] by …

We present a stochastic epidemic model to study the effect of various preventive measures,
such as uniform reduction of contacts and transmission, vaccination, isolation, screening …