6 citations · 6 across the 5 of their papers we have counts for
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Semi-Markov Models with Particle-Based Bayesian Inference for Epidemics
Patrick Aschermayr, Konstantinos Kalogeropoulos, Nikolaos Demiris
The COVID-19 pandemic has been characterised by multiple waves of transmission driven by interventions and emerging variants, challenging epidemic models that assume gradually evol…
A modelling framework for the analysis of the SARS-CoV2 transmission dynamics
Anastasia Chatzilena, Nikolaos Demiris, Konstantinos Kalogeropoulos
Despite the progress in medical data collection the actual burden of SARS-CoV-2 remains unknown due to under-ascertainment of cases. This was apparent in the acute phase of the pan…
Bayesian spatio-temporal epidemic models with applications to sheep pox
C. Malesios, N. Demiris, K. Kalogeropoulos +1
Epidemic data often possess certain characteristics, such as the presence of many zeros, the spatial nature of the disease spread mechanism or environmental noise. This paper addre…