As the Coronavirus 2019 disease (COVID-19) started to spread rapidly in the state of Ohio,
the Ecology, Epidemiology and Population Health (EEPH) program within the Infectious …

Robust epidemiological models relating wastewater to community disease prevalence are
lacking. Assessments of SARS-CoV-2 infection rates have relied primarily on convenience …

In epidemiology, realistic disease dynamics often require Susceptible-Exposed-Infected-
Recovered (SEIR)-like models because they account for incubation periods before …

Incarcerated individuals are a highly vulnerable population for infection with severe acute
respiratory syndrome coronavirus 2 (SARS-CoV-2). Understanding the transmission of …

We prove that it is possible to obtain the exact closure of SIR pairwise epidemic equations
on a configuration model network if and only if the degree distribution follows a Poisson …

In a stochastic reaction network setting we consider the problem of tracking the fate of
individual molecules. We show that by using the classical large volume limit results, we may …

We propose a novel model-based clustering approach for samples of time series. We
assume as a unique commonality that two observations belong to the same group if …

We consider a stochastic model of multistage Michaelis--Menten (MM) type enzyme kinetic
reactions describing the conversion of substrate molecules to a product through several …

Non-pharmaceutical interventions, such as contact tracing has been an important tool in
controlling epidemic outbreaks. In this paper, we propose a non-Markovian, network-based …

The Dynamical Survival Analysis (DSA) is a framework for modeling epidemics based on
mean field dynamics applied to individual (agent) level history of infection and recovery …