Several waves of COVID-19 caused by different SARS-CoV-2 variants have been recorded
worldwide. During this period, many publications were released describing the influence of …

In many nations, efforts to prevent and control COVID-19 have been significantly impeded by
the SARS-CoV-2 virus ongoing mutation. The Omicron strain, a more recent and prevalent …

Обобщены отечественные научно-методические разработки, развивающие и
дополняющие методологию оценки риска здоровью для решения задач обеспечения …

This paper proposes a data-driven approximate Bayesian computation framework for
parameter estimation and uncertainty quantification of epidemic models, which incorporates …

A generalized pathway model, with time-dependent parameters, is applied to describe the
mortality curves of the COVID-19 disease for several countries that exhibit multiple waves of …

We present the software ModInterv as an informatics tool to monitor, in an automated and
user-friendly manner, the evolution and trend of COVID-19 epidemic curves, both for cases …

We propose a generalized susceptible-exposed-infected-removed (SEIR) model to track
COVID-19 in Canadian provinces, taking into account the impact of the pandemics on …

The COVID-19 pandemic has given rise to a great demand for computational models
capable of describing and inferring the evolution of an epidemic outbreak in the short term …

Since the COVID-19 pandemic was first reported in 2019, it has rapidly spread around the
world. Many countries implemented several measures to try to control the virus spreading …

The purpose of this work is to investigate a novel stochastic SIHR epidemic model, which
includes a general incidence rate and mean-reversion Ornstein–Uhlenbeck process. Firstly …