One of the calamities in the health sector during the recent years is COVID-19 (Coronavirus
Disease-2019). The COVID-19 pandemic not only leads to a health crisis but also an …

We present a simple model for the spread of an infection that incorporates spatial variability
in population density. Starting from first principle considerations, we explore how a novel …

Optimal allocation of vaccine doses is a major challenge faced by the health authorities
especially in the case of an ever-growing pandemic expansion and a limited supply …

Modeling high-dimensional and chaotic dynamics remains a challenging problem with a
wide range of applications from controlling turbulent flows, to weather forecasting, to …

In actual pandemic situations like COVID-19 it is important to understand the influence of
single mitigation measures as well as combinations to create most dynamic impact for …

The COVID-19 pandemic continues to emphasize the importance of epidemiological
modelling in guiding timely and systematic responses to public health threats. Nonetheless …

We propose a new mathematical and computational modeling framework that incorporates
fluid dynamics to study the spatial spread of infectious diseases. We model the susceptible …

Στην εργασία αυτή κατασκευάστηκε και μελετήθηκε, για τα πληθυσμιακά δεδομένα της
Ελλάδας, ένα συνεχές μη τοπικό επιδημιολογικό μοντέλο. Αρχικά παρουσιάστηκε το γνωστό …

Our aim is to provide an insight of the procedures and the dynamics that lead the spread of
contagious diseases through populations. Our simulation tool can increase our …

We investigate whether a reaction-diffusion model considering only meanly daily movement
is sufficient to describe the spread of the COVID-19 virus in Chicago. The model is calibrated …